37 citations · 42 across the 6 of their papers we have counts for
6 papers
Millimeter-Wave Sensing for Avoidance of High-Risk Ground Conditions for Mobile Robots
Jamie Blanche, Shivoh Chirayil Nandakumar, Daniel Mitchell +7
Mobile robot autonomy has made significant advances in recent years, with navigation algorithms well developed and used commercially in certain well-defined environments, such as w…
MIRRAX: A Reconfigurable Robot for Limited Access Environments
Wei Cheah, Keir Groves, Horatio Martin +4
The development of mobile robot platforms for inspection has gained traction in recent years with the rapid advancement in hardware and software. However, conventional mobile robot…
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms
Seongin Na, Tomáš Rouček, Jiří Ulrich +4
The recent advancement of Deep Reinforcement Learning (DRL) contributed to robotics by allowing automatic controller design. The automatic controller design is a crucial approach f…
Robust SLAM Systems: Are We There Yet?
Mihai Bujanca, Xuesong Shi, Matthew Spear +3
Progress in the last decade has brought about significant improvements in the accuracy and speed of SLAM systems, broadening their mapping capabilities. Despite these advancements,…
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin +3
This paper presents a sensor-level mapless collision avoidance algorithm for use in mobile robots that map raw sensor data to linear and angular velocities and navigate in an unkno…
Omnipotent Virtual Giant for Remote Human-Swarm Interaction
Inmo Jang, Junyan Hu, Farshad Arvin +2
This paper proposes an intuitive human-swarm interaction framework inspired by our childhood memory in which we interacted with living ants by changing their positions and environm…