8 citations · 8 across the 1 of their papers we have counts for
3 papers
Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking
Lei Xu, Tianyu Ren, Georgia Chalvatzaki +1
As robots play an increasingly important role in the industrial, the expectations about their applications for everyday living tasks are getting higher. Robots need to perform long…
Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning
Andrew S. Morgan, Daljeet Nandha, Georgia Chalvatzaki +3
Substantial advancements to model-based reinforcement learning algorithms have been impeded by the model-bias induced by the collected data, which generally hurts performance. Mean…
Extended Tree Search for Robot Task and Motion Planning
Tianyu Ren, Georgia Chalvatzaki, Jan Peters
Integrated task and motion planning (TAMP) is desirable for generalized autonomy robots but it is challenging at the same time. TAMP requires the planner to not only search in both…