activity
20162022
most citedA Berkeley View of Systems Challenges for AI

176 citations · 509 across the 45 of their papers we have counts for

collaborators

66 papers

cs.RO20225 cited

FogROS G: Enabling Secure, Connected and Mobile Fog Robotics with Global Addressability

Kaiyuan Chen, Jiachen Yuan, Nikhil Jha +3

Fog Robotics renders networked robots with greater mobility, on-demand compute capabilities and better energy efficiency by offloading heavy robotics workloads to nearby Edge and d…

cs.LG20225 cited

Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations

Albert Wilcox, Ashwin Balakrishna, Jules Dedieu +3

Providing densely shaped reward functions for RL algorithms is often exceedingly challenging, motivating the development of RL algorithms that can learn from easier-to-specify spar…

cs.RO2022

SGTM 2.0: Autonomously Untangling Long Cables using Interactive Perception

Kaushik Shivakumar, Vainavi Viswanath, Anrui Gu +6

Cables are commonplace in homes, hospitals, and industrial warehouses and are prone to tangling. This paper extends prior work on autonomously untangling long cables by introducing…

cs.RO2022

SpeedFolding: Learning Efficient Bimanual Folding of Garments

Yahav Avigal, Lars Berscheid, Tamim Asfour +2

Folding garments reliably and efficiently is a long standing challenge in robotic manipulation due to the complex dynamics and high dimensional configuration space of garments. An…

cs.DC2022

The Sky Above The Clouds

Sarah Chasins, Alvin Cheung, Natacha Crooks +14

Technology ecosystems often undergo significant transformations as they mature. For example, telephony, the Internet, and PCs all started with a single provider, but in the United…

cs.RO20222 cited

Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research

Ryan Hoque, Kaushik Shivakumar, Shrey Aeron +7

Autonomous fabric manipulation is a longstanding challenge in robotics, but evaluating progress is difficult due to the cost and diversity of robot hardware. Using Reach, a cloud r…