2 citations · 2 across the 4 of their papers we have counts for
5 papers
Learning Multi-Humanoid Pickup and Transport via Decentralized Object-Centric Control
Bikram Pandit, Mohitvishnu S. Gadde, Aayam Kumar Shrestha +1
We study cooperative multi-humanoid pickup and transport of objects with varying size, weight, and geometry, requiring robot teams of different sizes. Our approach uses decentraliz…
Multi-Quadruped Cooperative Object Transport: Learning Decentralized Pinch-Lift-Move
Bikram Pandit, Aayam Kumar Shrestha, Alan Fern
We study decentralized cooperative transport using teams of N-quadruped robots with arm that must pinch, lift, and move ungraspable objects through physical contact alone. Unlike p…
Non-conflicting Energy Minimization in Reinforcement Learning based Robot Control
Skand Peri, Akhil Perincherry, Bikram Pandit +1
Efficient robot control often requires balancing task performance with energy expenditure. A common approach in reinforcement learning (RL) is to penalize energy use directly as pa…
Learning Decentralized Multi-Biped Control for Payload Transport
Bikram Pandit, Ashutosh Gupta, Mohitvishnu S. Gadde +5
Payload transport over flat terrain via multi-wheel robot carriers is well-understood, highly effective, and configurable. In this paper, our goal is to provide similar effectivene…
Learning Vision-Based Bipedal Locomotion for Challenging Terrain
Helei Duan, Bikram Pandit, Mohitvishnu S. Gadde +4
Reinforcement learning (RL) for bipedal locomotion has recently demonstrated robust gaits over moderate terrains using only proprioceptive sensing. However, such blind controllers…