most citedCan Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?

8 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO20221 cited

Design of an All-Purpose Terrace Farming Robot

Vibhakar Mohta, Adarsh Patnaik, Shivam Kumar Panda +6

Automation in farming processes is a growing field of research in both academia and industries. A considerable amount of work has been put into this field to develop systems robust…

cs.CV20227 cited

Last-Mile Embodied Visual Navigation

Justin Wasserman, Karmesh Yadav, Girish Chowdhary +2

Realistic long-horizon tasks like image-goal navigation involve exploratory and exploitative phases. Assigned with an image of the goal, an embodied agent must explore to discover…

cs.RO20221 cited

Real World Offline Reinforcement Learning with Realistic Data Source

Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa +3

Offline reinforcement learning (ORL) holds great promise for robot learning due to its ability to learn from arbitrary pre-generated experience. However, current ORL benchmarks are…

cs.RO20228 cited

Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?

Yuchen Cui, Scott Niekum, Abhinav Gupta +2

Task specification is at the core of programming autonomous robots. A low-effort modality for task specification is critical for engagement of non-expert end-users and ultimate ado…

cs.RO2020

SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks

Bohan Wu, Feng Xu, Zhanpeng He +2

Recent advances in deep reinforcement learning (RL) have demonstrated its potential to learn complex robotic manipulation tasks. However, RL still requires the robot to collect a l…