activity
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

collaborators
Showing 2023 · cs.ROShow all

7 papers · 2 filters

cs.RO2023

Socially Cognizant Robotics for a Technology Enhanced Society

Kristin J. Dana, Clinton Andrews, Kostas Bekris +6

Emerging applications of robotics, and concerns about their impact, require the research community to put human-centric objectives front-and-center. To meet this challenge, we advo…

cs.RO2023

Pick Planning Strategies for Large-Scale Package Manipulation

Shuai Li, Azarakhsh Keipour, Kevin Jamieson +4

Automating warehouse operations can reduce logistics overhead costs, ultimately driving down the final price for consumers, increasing the speed of delivery, and enhancing the resi…

cs.RO2023★ 2 cited

: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space

Ewerton R. Vieira, Aravind Sivaramakrishnan, Sumanth Tangirala +3

Estimating the region of attraction () for a robot controller is essential for safe application and controller composition. Many existing methods require a closed-form e…

cs.RO2023

Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics

Aravind Sivaramakrishnan, Sumanth Tangirala, Edgar Granados +2

This paper aims to improve the computational efficiency of motion planning for mobile robots with non-trivial dynamics through the use of learned controllers. Offline, a system-spe…

cs.RO2023★ 4 cited

Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs

Haonan Chang, Kowndinya Boyalakuntla, Shiyang Lu +8

We present an Open-Vocabulary 3D Scene Graph (OVSG), a formal framework for grounding a variety of entities, such as object instances, agents, and regions, with free-form text-base…

cs.RO2023

Demonstrating Large-Scale Package Manipulation via Learned Metrics of Pick Success

Shuai Li, Azarakhsh Keipour, Kevin Jamieson +3

Automating warehouse operations can reduce logistics overhead costs, ultimately driving down the final price for consumers, increasing the speed of delivery, and enhancing the resi…

cs.RO2023

Resolution Complete In-Place Object Retrieval given Known Object Models

Daniel Nakhimovich, Yinglong Miao, Kostas E. Bekris

This work proposes a robot task planning framework for retrieving a target object in a confined workspace among multiple stacked objects that obstruct the target. The robot can use…