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20142026
most citeddRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning

93 citations · 407 across the 82 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

cs.RO2018★ 8 cited

Fast, High-Quality Dual-Arm Rearrangement in Synchronous, Monotone Tabletop Setups

Rahul Shome, Kiril Solovey, Jingjin Yu +2

Rearranging objects on a planar surface arises in a variety of robotic applications, such as product packaging. Using two arms can improve efficiency but introduces new computation…

cs.CV2018★ 1 cited

A Summary of the 4th International Workshop on Recovering 6D Object Pose

Tomas Hodan, Rigas Kouskouridas, Tae-Kyun Kim +12

This document summarizes the 4th International Workshop on Recovering 6D Object Pose which was organized in conjunction with ECCV 2018 in Munich. The workshop featured four invited…

cs.RO2018★ 5 cited

Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning

David Surovik, Kun Wang, Kostas E. Bekris

The dynamical properties of tensegrity robots give them appealing ruggedness and adaptability, but present major challenges with respect to locomotion control. Due to high-dimensio…

cs.RO2018★ 1 cited

Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation

Michal Kleinbort, Kiril Solovey, Zakary Littlefield +2

The Rapidly-exploring Random Tree (RRT) algorithm has been one of the most prevalent and popular motion-planning techniques for two decades now. Surprisingly, in spite of its centr…

cs.RO2018

Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter

Chaitanya Mitash, Abdeslam Boularias, Kostas Bekris

This paper focuses on vision-based pose estimation for multiple rigid objects placed in clutter, especially in cases involving occlusions and objects resting on each other. Progres…

cs.RO2018★ 16 cited

Fast, Anytime Motion Planning for Prehensile Manipulation in Clutter

Andrew Kimmel, Rahul Shome, Zakary Littlefield +1

Many methods have been developed for planning the motion of robotic arms for picking and placing, ranging from local optimization to global search techniques, which are effective f…