Please visit my Google Scholar page for updated list of publications and citation metrics.
The below list is in the following order: Journals, Conferences, Posters, Tech. Reports, Thesis, and Datasets.
Choose options above for specific listings in chronological order.
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Min Ku Kim, Ramviyas Parasuraman, Liu Wang, Yeonsoo Park, Bongjoong Kim, Seung Jun Lee, Nanshu Lu, Byung-Cheol Min, and Chi Hwan Lee, "Soft-packaged sensory glove system for human-like natural interaction and control of prosthetic hands," Nature's NPG Asia Materials 11(1). 2019 Aug 30.
Abstract Paper
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Shaocheng Luo, Jonghoek Kim, Ramviyas Parasuraman, Jun Han Bae, Eric T Matson, Byung-Cheol Min. "
Multi-robot Rendezvous Based on Bearing-aided Hierarchical Tracking of Network Topology", Adhoc Networks 86, pp. 131-143, 2019 Apr 1. doi: 10.1016/j.adhoc.2018.11.004.
Abstract Paper Video
Rendezvous control is an important module of a multi-robot system to enable formation control of multiple robots without losing network connectivity. This paper introduces a new coordinate-free, bearing-only algorithm, based on hierarchical tracking of wireless network topology, to enable rendezvous of distributed mobile robots at any designated leader robot node. An assumption is made that the robot can only detect and communicate with their neighbors (i.e., local sensing). The proposed approach preserves connectivity during the rendezvous task, adapts to dynamic changes in the network topology (e.g., losing or re-gaining a communication link), and is tolerant of mobility faults in the robots. We theoretically analyze the proposed algorithm and experimentally demonstrate the approach through simulations and extensive field experiments. The results indicate that the method is effective in a variety of realistic scenarios in which the robots are distributed in a cluttered environment.
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Danilo Tardioli, Ramviyas Parasuraman, Petter Ögren. "Pound: A multi-master ROS node for Reducing Delay and Jitter in Wireless Multi-Robot Networks", Robotics and Autonomous Systems journal, Vol. 111, pp. 73-87, (2019). doi: 10.1016/j.robot.2018.10.009
Preprint Abstract Paper Codes
The Robot Operating System (ROS) is rapidly becoming the de facto framework for building robotics systems, thanks to its flexibility and the large acceptance that it has received in the robotics community. With the growth of its popularity, it has started to be used in multi-robot systems as well. However, the TCP connections that the platform relies on for connecting the so-called ROS nodes, presents several issues in terms of limited-bandwidth, delays and jitter, when used in wireless ad-hoc networks. In this paper, we present a thorough analysis of the problem and propose a new ROS node called Pound to improve the wireless communication performance. Pound allows the use of multiple ROS cores and introduces a priority scheme favoring more important flows over less important ones, thus reducing delay and jitter over single-hop and multihop networks. We compare Pound to the state-of-the-art solutions and show that it performs equally well, or better in all the test cases, including a control-over-network example.
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Mohamed Haseeb and Ramviyas Parasuraman. "Wisture: Touch-less Hand Gesture Classification in Unmodified Smartphones Using Wi-Fi Signals", IEEE Sensors Journal (2018). doi: 10.1109/JSEN.2018.2876448
Preprint Abstract Paper Codes & App Video
This paper introduces Wisture, a new online machine learning solution for recognizing touch-less dynamic hand gestures on a smartphone. Wisture relies on the standard Wi-Fi Received Signal Strength (RSS) using a Long Short-Term Memory (LSTM) Recurrent Neural Network (RNN), thresholding filters and traffic induction. Unlike other Wi-Fi based gesture recognition methods, the proposed method does not require a modification of the smartphone hardware or the operating system, and performs the gesture recognition without interfering with the normal operation of other smartphone applications. We discuss the characteristics of Wisture, and conduct extensive experiments to compare its performance against state-of-the-art machine learning solutions in terms of both accuracy and time efficiency. The experiments include a set of different scenarios in terms of both spatial setup and traffic between the smartphone and Wi-Fi access points (AP). The results show that Wisture achieves an online recognition accuracy of up to 94% (average 78%) in detecting and classifying three hand gestures.
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Ramviyas Parasuraman, Jonghoek Kim, Shaocheng Luo, Byung-Cheol Min.
"Multi-Point Rendezvous in Multi-Robot Systems",
IEEE Transactions on Cybernetics (2018). doi: 10.1109/TCYB.2018.2868870
Preprint Abstract Paper Video
Multi-robot rendezvous control and coordination strategies have garnered significant interest in recent years because of their potential applications in decentralized tasks. In this paper, we introduce a coordinate-free rendezvous control strategy to enable multiple robots to gather at different locations (dynamic leader robots) by tracking their hierarchy in a connected interaction graph. A key novelty in this strategy is the gathering of robots in different groups rather than at a single consensus point, motivated by autonomous multi-point recharging and flocking control problems. We show that the proposed rendezvous strategy guarantees convergence and maintains connectivity while accounting for practical considerations such as robots with limited speeds and an obstacle-rich environment. The algorithm is distributed and handles minor faults such as a broken immobile robot and a sudden link failure. In addition, we propose an approach that determines the locations of rendezvous points based on the connected interaction topology and indirectly optimizes the total energy consumption for rendezvous in all robots. Through extensive experiments with the Robotarium multi-robot testbed, we verified and demonstrated the effectiveness of our approach and its properties.
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Michele Colledanchise, Ramviyas Parasuraman, Petter Ögren.
"Learning of Behavior Trees for Autonomous Agents",
IEEE Transactions on Games (2018). doi: 10.1109/TG.2018.2816806.
Preprint Abstract Paper Video
In this paper, we study the problem of automatically synthesizing a successful Behavior Tree (BT) in an a-priori unknown dynamic environment. Starting with a given set of behaviors, a reward function, and sensing in terms of a set of binary conditions, the proposed algorithm incrementally learns a switching structure in terms of a BT, that is able to handle the situations encountered. Exploiting the fact that BTs generalize And-Or-Trees and also provide very natural chromosome mappings for genetic pro- gramming, we combine the long term performance of Genetic Programming with a greedy element and use the And-Or analogy to limit the size of the resulting structure. Finally, earlier results on BTs enable us to provide certain safety guarantees for the resulting system. Using the testing environment Mario AI we compare our approach to alternative methods for learning BTs and Finite State Machines. The evaluation shows that the proposed approach generated solutions with better performance, and often fewer nodes than the other two methods.
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Byung-Cheol Min, Ramviyas Parasuraman, Sangjun Lee, Jin-Woo Jung, Eric T Matson. "A Directional Antenna based Leader-Follower Relay System for End-to-End Robot Communications", Robotics and Autonomous Systems (2017), vol 101, pp 57-73. DOI: https://doi.org/10.1016/j.robot.2017.11.013.
Preprint Abstract Paper Video
@inproceedings{wikipediaforrobots-saxena-2016,
title={Wikipedia for Robots},
author={Ashutosh Saxena},
year={2016},
booktitle={MIT Technoogy Review}
}
In this paper, we present a directional antenna-based leader-follower robotic relay system capable of building end-to-end communication in complicated and dynamically changing environments. The proposed system consists of multiple networked robots - one is a mobile end node and the others are leaders or followers acting as radio relays. Every follower uses directional antennas to relay a communication radio and to estimate the location of the leader robot as a sensory device. For bearing estimation, we employ a weight centroid algorithm (WCA) and present a theoretical analysis of the use of WCA for this work. Using a robotic convoy method, we develop online, distributed control strategies that satisfy the scalability requirements of robotic network systems and enable cooperating robots to work independently. The performance of the proposed system is evaluated by conducting extensive real-world experiments that successfully build actual communication between two end nodes.
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Ramviyas Parasuraman, Sergio Caccamo, Fredrik Baberg, Mark Neerincx, Petter Ögren. "A New UGV Teleoperation Interface for Improved Awareness of Network Connectivity and Physical Surroundings", Journal of Human-Robot Interaction (ACM Transactions on Human-Robot Interaction), Vol.6, no.3, Dec 2017. DOI 10.5898/JHRI.6.3.Parasuraman.
Preprint Abstract Paper Video
@inproceedings{wikipediaforrobots-saxena-2016,
title={Wikipedia for Robots},
author={Ashutosh Saxena},
year={2016},
booktitle={MIT Technoogy Review}
}
A reliable wireless connection between the operator and the teleoperated Unmanned Ground Vehicle (UGV) is critical in many Urban Search and Rescue (USAR) missions. Unfortunately, as was seen in e.g. the Fukushima disaster, the networks available in areas where USAR missions take place are often severely limited in range and coverage. Therefore, during mission execution, the operator needs to keep track of not only the physical parts of the mission, such as navigating through an area or searching for victims, but also the variations in network connectivity across the environment. In this paper, we propose and evaluate a new teleoperation User Interface (UI) that includes a way of estimating the Direction of Arrival (DoA) of the Radio Signal Strength (RSS) and integrating the DoA information in the interface. The evaluation shows that using the interface results in more objects found, and less aborted missions due to connectivity problems, as compared to a standard interface. The proposed interface is an extension to an existing interface centered around the video stream captured by the UGV. But instead of just showing the network signal strength in terms of percent and a set of bars, the additional information of DoA is added in terms of a color bar surrounding the video feed. With this information, the operator knows what movement directions are safe, even when moving in regions close to the connectivity threshold.
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Ramviyas Parasuraman, Thomas Fabry, Luca Molinari, Keith Kershaw, Mario Di Castro, Alessandro Masi, Manuel Ferre. "A Multi-Sensor RSS Spatial Sensing-Based Robust Stochastic Optimization Algorithm for Enhanced Wireless Tethering". Sensors 14 (2014), no. 12: pp. 23970-24003. doi:10.3390/s141223970
PDF Abstract Publication
@inproceedings{wikipediaforrobots-saxena-2016,
title={Wikipedia for Robots},
author={Ashutosh Saxena},
year={2016},
booktitle={MIT Technoogy Review}
}
The reliability of wireless communication in a network of mobile wireless robot nodes depends on the received radio signal strength (RSS). When the robot nodes are deployed in hostile environments with ionizing radiations (such as in some scientific facilities), there is a possibility that some electronic components may fail randomly (due to radiation effects), which causes problems in wireless connectivity. The objective of this paper is to maximize robot mission capabilities by maximizing the wireless network capacity and to reduce the risk of communication failure. Thus, in this paper, we consider a multi-node wireless tethering structure called the server-relay-client framework that uses (multiple) relay nodes in between a server and a client node. We propose a robust stochastic optimization (RSO) algorithm using a multi-sensor-based RSS sampling method at the relay nodes to efficiently improve and balance the RSS between the source and client nodes to improve the network capacity and to provide redundant networking abilities. We use pre-processing techniques, such as exponential moving averaging and spatial averaging filters on the RSS data for smoothing. We apply a receiver spatial diversity concept and employ a position controller on the relay node using a stochastic gradient ascent method for self-positioning the relay node to achieve the RSS balancing task. The effectiveness of the proposed solution is validated by extensive simulations and field experiments in CERN facilities. For the field trials, we used a youBot mobile robot platform as the relay node, and two stand-alone Raspberry Pi computers as the client and server nodes. The algorithm has been proven to be robust to noise in the radio signals and to work effectively even under non-line-of-sight conditions.
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Ramviyas Parasuraman, Keith Kershaw, and Manuel Ferre. "Experimental Investigation of Radio Signal Propagation in Scientific Facilities for Telerobotic Applications". Int J Adv Robot Syst, (2013), 10:364. doi: 10.5772/56847.
PDF Abstract Publication
@inproceedings{wikipediaforrobots-saxena-2016,
title={Wikipedia for Robots},
author={Ashutosh Saxena},
year={2016},
booktitle={MIT Technoogy Review}
}
Understanding the radio signal transmission characteristics in the environment where the telerobotic application is sought is a key part of achieving a reliable wireless communication link between a telerobot and a control station. In this paper, wireless communication requirements and a case study of a typical telerobotic application in an underground facility at CERN are presented. Then, the theoretical and experimental characteristics of radio propagation are investigated with respect to time, distance, location and surrounding objects. Based on analysis of the experimental findings, we show how a commercial wireless system, such as Wi-Fi, can be made suitable for a case study application at CERN.
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Qin Yang, Zhiwei Luo, Wenzhan Song, Ramviyas Parasuraman.
"Self-Reactive Planning of Multi-Robots with Dynamic Task Assignments".
Int. Symp. on Multi Robot and Multi Agent Systems (MRS) 2019, Rutgers, NJ.
Preprint Abstract Video
Multi-Robot Systems and Swarms are intelligent systems in which a large number of agents are coordinated in a distributed and decentralized way. Each robot may have homogeneous or heterogeneous capabilities and can be programmed with several fundamental control laws adapting to the environment. Through different kinds of relationships built using the communication protocols, they present various behaviors based on the shared information and current state. To adapt to dynamic environments effectively, and maximize the utility of the group, robots need to cooperate, share their local information, and make a suitable plan according to the specific scenario. In this paper, we formalize the problem of multi-robots fulfilling dynamic tasks using state transitions represented through a Behavior Tree. We design a framework with corresponding distributed algorithms for communications between robots and negotiation and agreement protocols through a novel priority mechanism. Finally, we evaluate our framework through simulation experiments.
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Ramviyas Parasuraman and Byung-Cheol Min. "Consensus Control of Distributed Robots using Direction of Arrival of Wireless Signals," Int. Symp. on Distributed Autonomous Robotic Systems (DARS), Boulder, USA, Oct 15-17, 2018.
Preprint Abstract Codes Video
In multi-robot applications, consensus control and coordination are vital and potentially repetitive tasks. To circumvent practical limitations such as a global localization system, researchers have focused on bearing-based consensus controllers, but most assumed that measurements from sensors (e.g. vision) are noise-free. In this paper, we propose to use wireless signal measurements to estimate the direction of arrival (relative bearings) of neighboring robots and introduce a weighted bearing consensus controller to achieve coordinate-free distributed multi-robot rendezvous. We prove that the proposed controller guarantees connectivity maintenance and convergence even in the presence of measurement noise. We conduct extensive numerical simulation experiments using the Robotarium multi-robot platform to verify and demonstrate the properties of the proposed controller and to compare the performance of the rendezvous task against several state-of-the-art rendezvous controllers.
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Ramviyas Parasuraman, Petter Ögren, Byung-Cheol Min. "Kalman filter based spatial prediction of wireless connectivity for autonomous robots and connected vehicles," IEEE Connected and Automated Vehicles Symposium (CAVS), Chicago, USA, August 27, 2018.
Preprint Abstract Dataset
This paper proposes a new Kalman filter based online framework to estimate the spatial wireless connectivity in terms of received signal strength (RSS), which is composed of path loss and the shadow fading variance of a wireless channel in autonomous vehicles. The path loss is estimated using a localized least squares method and the shadowing effect is predicted with an empirical (exponential) variogram. A discrete Kalman Filter is used to fuse these two models into a statespace formulation. The approach is unique in a sense that it is online and does not require the exact source location to be known apriori. We evaluated the method using real-world measurements dataset from both indoors and outdoor environments. The results show significant performance improvements compared to state-of-the-art methods using Gaussian processes or Kriging interpolation algorithms. We are able to achieve a mean prediction accuracy of up to 96% for predicting RSS as far as 20 meters ahead in the robot s trajectory.
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Yeonju Oh, Ramviyas Parasuraman, Tim McGraw, and Byung-Cheol Min. "360 VR Based Robot Teleoperation Interface for Virtual Tour", The 13th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI), Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interactions (VAM-HRI), Chicago, Illinois, USA, March 5, 2018.
PDF Abstract
We propose a novel mobile robot teleoperation interface that demonstrates the applicability of robot-aided remote telepresence system with a virtual reality (VR) device in a virtual tour scenario. To improve the realism and provide an intuitive replica of the remote environment at the user interface, we implemented a system that automatically moves a mobile robot (viewpoint) while displaying a 360-degree live video streamed from the robot on a virtual reality gear (Oculus Rift). Once the user chooses a destination location among a given set of options, the robot generates a route to the destination based on a shortest path graph, and travels along the route using a wireless signal tracking method that depends on measuring the Direction of Arrival (DOA) of radio signal. In this paper, we present an overview of the system and the architecture, highlight the current progress in the system development, and discuss the implementation aspects of the above system.
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Sergio Caccamo, Ramviyas Parasuraman, Luigi Freda, Mario Gianni, Petter Ogren. "RCAMP: Resilient Communication-Aware Motion Planner and Autonomous Repair of Wireless Connectivity in Mobile Robots," IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 2153-0866.
Preprint Abstract Paper Video
Mobile robots, be it autonomous or teleoperated, require stable communication with the base station to exchange valuable information. Given the stochastic elements in radio signal propagation, such as shadowing and fading, and the possibilities of unpredictable events or hardware failures, communication loss often presents a significant mission risk, both in terms of probability and impact, especially in Urban Search and Rescue (USAR) operations. Depending on the circumstances, disconnected robots are either abandoned, or attempt to autonomously back-trace their way to the base station. Although recent results in Communication-Aware Motion Planning can be used to effectively manage connectivity with robots, there are no results focusing on autonomously re-establishing the wireless connectivity of a mobile robot without back-tracing or using detailed a priori information of the network. In this paper, we present a robust and online radio signal mapping method using Gaussian Random Fields, and propose a Resilient Communication-Aware Motion Planner (RCAMP) that integrates the above signal mapping framework with a motion planner. RCAMP considers both the environment and the physical constraints of the robot, based on the available sensory information. We also propose a self-repair strategy using RCMAP, that takes both connectivity and the goal position into account when driving to a connection-safe position in the event of a communication loss. We demonstrate the proposed planner in a set of realistic simulations of an exploration task in single or multi-channel communication scenarios.
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Sergio Caccamo, Ramviyas Parasuraman, Fredrik Baberg and Petter Ogren, "Extending a UGV teleoperation FLC interface with wireless network connectivity information," 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, 2015, pp. 4305-4312. doi: 10.1109/IROS.2015.7353987
Preprint Abstract Paper Video
Teleoperated Unmanned Ground Vehicles (UGVs) are expected to play an important role in future search and rescue operations. In such tasks, two factors are crucial for a successful mission completion: operator situational awareness and robust network connectivity between operator and UGV. In this paper, we address both these factors by extending a new Free Look Control (FLC) operator interface with a graphical representation of the Radio Signal Strength (RSS) gradient at the UGV location. We also provide a new way of estimating this gradient using multiple receivers with directional antennas. The proposed approach allows the operator to stay focused on the video stream providing the crucial situational awareness, while controlling the UGV to complete the mission without moving into areas with dangerously low wireless connectivity. The approach is implemented on a KUKA youBot using commercial-off-the-shelf components. We provide experimental results showing how the proposed RSS gradient estimation method performs better than a difference approximation using omnidirectional antennas and verify that it is indeed useful for predicting the RSS development along a UGV trajectory. We also evaluate the proposed combined approach in terms of accuracy, precision, sensitivity and specificity.
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Ramviyas Parasuraman, Thomas Fabry, Kieth Kershaw, Manuel Ferre. "Spatial sampling methods for improved communication for wireless relay robots", International Conference on Connected Vehicles and Expo (ICCVE), pp.874,880, 2-6 Dec. 2013. doi: 10.1109/ICCVE.2013.6799919.
Preprint Abstract Paper
Having reliable wireless communication in a network of mobile robots is an ongoing challenge, especially when the mobile robots are given tasks in hostile or harmful environments such as radiation environments in scientific facilities, tunnels with large metallic components and complicated geometries as found at CERN. In this paper, we propose a decentralised method for improving the wireless network throughput by optimizing the wireless relay robot position to receive the best wireless signal strength using implicit spatial diversity concepts and gradient-search algorithms. We experimentally demonstrate the effectiveness of the proposed solutions with a KUKA Youbot omni-directional mobile robot. The performance of the algorithms is compared under various scenarios in an underground scientific facility at CERN.
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Ramviyas Parasuraman, Prithvi Pagala, Keith Kershaw, Manuel Ferre.
"Model based on-line energy prediction system for semi-autonomous mobile robots",
IEEE Intl. Conf. on Intelligent Systems, Modelling and Simulation (ISMS), Jan 2014.
Preprint Abstract Paper
Maximizing energy autonomy is a consistent challenge when deploying mobile robots in ionizing radiation or other hazardous environments. Having a reliable robot system is essential for successful execution of missions and to avoid manual recovery of the robots in environments that are harmful to human beings. For deployment of robots missions at short notice, the ability to know beforehand the energy required for performing the task is essential. This paper presents a on-line method for predicting energy requirements based on the pre-determined power models for a mobile robot. A small mobile robot, Khepera III is used for the experimental study and the results are promising with high prediction accuracy. The applications of the energy prediction models in energy optimization and simulations are also discussed along with examples of significant energy savings.
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Alexander Owen-Hill, Ramviyas Parasuraman, Manuel Ferre.
"Haptic teleoperation of mobile robots for augmentation of operator perception in environments with low-wireless signal", IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), Oct. 2013. doi: 10.1109/SSRR.2013.6719329.
Preprint Abstract Paper
Wireless teleoperation of field robots for maintenance, inspection and rescue missions is often performed in environments with low wireless connectivity, caused by signal losses from the environment and distance from the wireless transmitters. Various studies from the literature have addressed these problems with time-delay robust control systems and multi-hop wireless relay networks. However, such approaches do not solve the issue of how to present wireless data to the operator to avoid losing control of the robot. Despite the fact that teleoperation for maintenance often already involves haptic devices, no studies look at the possibility of using this existing feedback to aid operators in navigating within areas of variable wireless connectivity. We propose a method to incorporate haptic information into the velocity control of an omnidirectional robot to augment the operator's perception of wireless signal strength in the remote environment. In this paper we introduce a mapping between wireless signal strength from multiple receivers to the force feedback of a 6 Degree of Freedom haptic master and evaluate the proposed approach using experimental data and randomly generated wireless maps.
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Ramviyas Parasuraman, Prithvi Pagala, Keith Kershaw, Manuel Ferre.
"Energy Management Module for Mobile Robots in Hostile Environments",
Advances in Autonomous Robotics, Lecture Notes in Computer Science Volume 7429, 2012, pp 430-431. Springer Berlin Heidelberg. doi: 10.1007/978-3-642-32527-4_45.
Preprint Abstract Paper
In hostile environments at CERN and other similar scientific facilities, having a reliable mobile robot system is essential for successful execution of robotic missions and to avoid situations of manual recovery of the robots in the event that the robot runs out of energy. Because of environmental constraints, such mobile robots are usually battery-powered and hence energy management and optimization is one of the key challenges in this field. The ability to know beforehand the energy consumed by various elements of the robot (such as locomotion, sensors, controllers, computers and communication) will allow flexibility in planning or managing the tasks to be performed by the robot.
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Abisekh Jain, Arvind Seshadri, Balaji B.S, Ramviyas Parasuraman.
"Onboard Dynamic Rail TrackSafety Monitoring System".
International Conf. on Advanced Communication Systems 2007, Coimbatore, India.
Preprint Abstract Paper
This proposal aims at solving one of the long prevailing problems in the Railways. This simple method of continuous monitoring and assessment of the condition of the rail tracks can prevent major disasters and save precious human lives. Our method is capable of alerting the train in case of any dislocations in the track or change in strength of the soil. Also it can avert the collisions of the train with other or with the vehicles trying to move across the unmanned level crossings.
Other Publications (Posters/Reports/Thesis/Datasets)
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Wonse Jo, Shyam Sundar Kannan, Ramviyas Parasuraman, and Byung-Cheol Min. Development of Material Recognition Training System for Visually Impaired People. In: Health and Disease: Science, Technology, Culture, and Policy. (West Lafayette, IN, USA). Purdue University. Mar. 2018. Download Poster.
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Ramviyas Parasuraman, Jonghoek Kim, Shaocheng Luo, and Byung-Cheol Min. "Hierarchical Tracking-based Multi-Point Rendezvous in Multi-Robot System". In: Robots and Sensors for the Human Well-being (ROSE-HUB) Fall Meeting. (Denver, CO, USA). NSF. Nov. 2017. Download Poster.
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Jun Han Bae, Ramviyas Parasuraman, Wonse Jo, Arabinda Samantaray, Jee-Hwan Park, Hunjung Lim, and Byung-Cheol Min. “Development of Autonomous Robotic System for Algae Removal". 4th Annual Environmental Community Mixer, 15 Sep 2017, Purdue University, USA. Download Poster.
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Ramviyas Parasuraman, Multi-Robot Rendezvous Control and Optimization, Midwest Robotics Workshop (MWRW), 18-19 May 2017, Chicago, USA. Download Poster
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Ramviyas Parasuraman, Abhishek Jain, and Narayanasamy B. "Instrumental and Impedance Analysis of Nanoporous Alumina". International Conf. on Nanomaterials and its Applications 2007, Trichy, India. (Best Poster Award) Download Poster.
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Ramviyas Parasuraman and Byung-Cheol Min, Special issue on "Assistive Robotics" (Editorial), Technologies, Vol.6(4), p.95, Oct 2018. Download Paper PDF
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PURESAFE Consortium (Pierre Bonnal et al.), The OpenSE Framework - an open, lean and participative approach to systems engineering for projects in scientific facilities. Feb 2016.
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Bachelor thesis: Ramviyas Parasuraman, "Automated generation of VLSI standard cell libraries using Genetic Algorithms", May 2008, Thiagarajar College of Engineering, Madurai, Anna University, Chennai, India. Download Thesis PDF.
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Mohamed Haseeb, Ramviyas Parasuraman, "Wi-Fi signal strength measurements from smartphone for various hand gestures", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2C362. Accessed: Jan. 11, 2018.
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