4 papers
PRoID: Predicted Rate of Information Delivery in Multi-Robot Exploration and Relaying
Seungchan Kim, Seungjae Baek, Micah Corah +3
We address Multi-Robot Exploration and Relaying (MRER): a team of robots must explore an unknown environment and deliver acquired information to a fixed base station within a missi…
Nightmare Dreamer: Dreaming About Unsafe States And Planning Ahead
Oluwatosin Oseni, Shengjie Wang, Jun Zhu +1
Reinforcement Learning (RL) has shown remarkable success in real-world applications, particularly in robotics control. However, RL adoption remains limited due to insufficient safe…
An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments
Ali Agha, Kyohei Otsu, Benjamin Morrell +86
This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…
CoCap: Coordinated motion Capture for multi-actor scenes in outdoor environments
Aditya Rauniyar, Micah Corah, Sebastian Scherer
Motion capture has become increasingly important, not only in computer animation but also in emerging fields like the virtual reality, bioinformatics, and humanoid training. Captur…