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cs.RO2025
Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle +5
Reinforcement learning (RL) is a promising approach for robotic navigation, allowing robots to learn through trial and error. However, real-world robotic tasks often suffer from sp…
cs.RO2024
DMCA: Dense Multi-agent Navigation using Attention and Communication
Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
In decentralized multi-robot navigation, ensuring safe and efficient movement with limited environmental awareness remains a challenge. While robots traditionally navigate based on…