1 citations · 1 across the 4 of their papers we have counts for
4 papers
What Does It Take For A Generalist Robot Policy To Adapt Using Minimal Data?
Shreyas Kowshik, Sreyas Venkataraman, Leo Wang +3
A central goal in robot learning is to move beyond task-specific human data collection toward robots that improve through autonomous interaction. Yet fully autonomous learning rema…
Real-World Offline Reinforcement Learning from Vision Language Model Feedback
Sreyas Venkataraman, Yufei Wang, Ziyu Wang +3
Offline reinforcement learning can enable policy learning from pre-collected, sub-optimal datasets without online interactions. This makes it ideal for real-world robots and safety…
VideoAgent: Self-Improving Video Generation
Achint Soni, Sreyas Venkataraman, Abhranil Chandra +4
Video generation has been used to generate visual plans for controlling robotic systems. Given an image observation and a language instruction, previous work has generated video pl…
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
Sabariswaran Mani, Sreyas Venkataraman, Abhranil Chandra +4
Robot learning tasks are extremely compute-intensive and hardware-specific. Thus the avenues of tackling these challenges, using a diverse dataset of offline demonstrations that ca…