Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mahammad, Zahiruddin"'
Robotic assistive feeding holds significant promise for improving the quality of life for individuals with eating disabilities. However, acquiring diverse food items under varying conditions and generalizing to unseen food presents unique challenges.
Externí odkaz:
http://arxiv.org/abs/2409.12092
Reinforcement Learning (RL) has shown remarkable progress in simulation environments, yet its application to real-world robotic tasks remains limited due to challenges in exploration and generalization. To address these issues, we introduce PLANRL, a
Externí odkaz:
http://arxiv.org/abs/2408.04054