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Peter Cuellar

dblp:231/4474 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 56% Robot manipulation · 44%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
compliant manipulation
0.412019
Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation · ICRA 2019
Robotics › Motion planning and robot control › robot control › force control
force-based manipulation
0.412019
Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation · ICRA 2019
Robotics › Motion planning and robot control
teleoperation
0.112019
Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation · ICRA 2019

Methods — techniques the papers use, named apart from their topics

virtual reality interface · 0.4quasi-direct drive actuation · 0.4
YearPublicationVenuePosition
2019 Quasi-Direct Drive for Low-Cost Compliant Robotic Manipulation
abstract
Robots must cost less and be force-controlled to enable widespread, safe deployment in unconstrained human environments. We propose Quasi-Direct Drive actuation as a capable paradigm for robotic force-controlled manipulation in human environments at low-cost. Our prototype - Blue - is a human scale 7 Degree of Freedom arm with 2kg payload. Blue can cost less than $5000. We show that Blue has dynamic properties that meet or exceed the needs of human operators: the robot has a nominal position-control bandwidth of 7.5Hz and repeatability within 4mm. We demonstrate a Virtual Reality based interface that can be used as a method for telepresence and collecting robot training demonstrations. Manufacturability, scaling, and potential use-cases for the Blue system are also addressed. Videos and additional information can be found online at berkeleyopenarms.github.io.
David V. Gealy, Stephen McKinley, Brent Yi, Philipp Wu, Phillip R. Downey, Greg Balke, Allan Zhao, Menglong Guo, Rachel Thomasson, Anthony Sinclair, Peter Cuellar, Zoe McCarthy, Pieter Abbeel
ICRA11