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20192026
most citedDecentralized Multi-Agent Pursuit using Deep Reinforcement Learning

180 citations · 252 across the 20 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.RO2022★ 1 cited

Comparing Subjective Perceptions of Robot-to-Human Handover Trajectories

Alexander Calvert, Wesley Chan, Tin Tran +4

Robots must move legibly around people for safety reasons, especially for tasks where physical contact is possible. One such task is handovers, which requires implicit communicatio…

cs.RO2022★ 4 cited

In-Hand Gravitational Pivoting Using Tactile Sensing

Jason Toskov, Rhys Newbury, Mustafa Mukadam +2

We study gravitational pivoting, a constrained version of in-hand manipulation, where we aim to control the rotation of an object around the grip point of a parallel gripper. To ac…

cs.CV2022

HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees

Zijue Chen, Keenan Granland, Rhys Newbury +1

Orchard automation has attracted the attention of researchers recently due to the shortage of global labor force. To automate tasks in orchards such as pruning, thinning, and harve…

cs.RO2022★ 7 cited

Deep Learning Approaches to Grasp Synthesis: A Review

Rhys Newbury, Morris Gu, Lachlan Chumbley +9

Grasping is the process of picking up an object by applying forces and torques at a set of contacts. Recent advances in deep-learning methods have allowed rapid progress in robotic…

cs.RO2022

Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction

Lachlan Chumbley, Morris Gu, Rhys Newbury +2

We investigate how high-resolution tactile sensors can be utilized in combination with vision and depth sensing, to improve grasp stability prediction. Recent advances in simulatin…

cs.RO2022★ 29 cited

Visibility Maximization Controller for Robotic Manipulation

Kerry He, Rhys Newbury, Tin Tran +5

Occlusions caused by a robot's own body is a common problem for closed-loop control methods employed in eye-to-hand camera setups. We propose an optimization-based reactive control…