Biblio

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2023
R. Parasuraman, Min, B. - C., and Ögren, P., “Rapid prediction of network quality in mobile robots”, Ad Hoc Networks, vol. 138, p. 103014, 2023.
2019
D. Tardioli, Parasuraman, R., and Ögren, P., “Pound: A multi-master ROS node for reducing delay and jitter in wireless multi-robot networks”, Robotics and Autonomous Systems, vol. 111, pp. 73–87, 2019.
2018
R. Parasuraman, Ögren, P., and Min, B. - C., “Kalman Filter Based Spatial Prediction of Wireless Connectivity for Autonomous Robots and Connected Vehicles”, in IEEE Vehicular Technology Conference (VTC-fall), 2018.
M. Colledanchise, Parasuraman, R., and Ögren, P., “Learning of behavior trees for autonomous agents”, IEEE Transactions on Games, vol. 11, pp. 183–189, 2018.
2017
R. Parasuraman, Caccamo, S., Freda, L., Ögren, P., and Min, B. - C., “An Approach to Retrieve from Communication Loss in Field Robots”, in Robotics: Science and Systems workshop: ROBOT COMMUNICATION IN THE WILD: MEETING THE CHALLENGES OF REAL-WORLD SYSTEMS!, 2017.
R. Parasuraman, Caccamo, S., Båberg, F., Ögren, P., and Neerincx, M., “A New UGV Teleoperation Interface for Improved Awareness of Network Connectivity and Physical Surroundings”, Journal of Human-Robot Interaction, vol. 6, pp. 48–70, 2017.
S. Caccamo, Parasuraman, R., Freda, L., Gianni, M., and Ögren, P., “RCAMP: A resilient communication-aware motion planner for mobile robots with autonomous repair of wireless connectivity”, in 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017, pp. 2010–2017.
2016
R. Parasuraman, Caccamo, S., Båberg, F., and Ögren, P., “CRAWDAD dataset kth/rss (v. 2016-01-05)”, https://crawdad.org/kth/rss/20160105/. 2016.
R. Parasuraman, Caccamo, S., Båberg, F., and Ögren, P., “CRAWDAD Dataset KTH/RSS (V. 2016-01-05) Traceset: Outdoor”, http://crawdad.org/kth/rss/20160105/outdoor. 2016.
2015
S. Caccamo, Parasuraman, R., Båberg, F., and Ögren, P., “Extending a UGV teleoperation FLC interface with wireless network connectivity information”, in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, pp. 4305–4312.