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William Hered

dblp:29/9963 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—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
Robot manipulation · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
compliant manipulation
0.112011
Design of a low-cost series elastic actuator for multi-robot manipulation · ICRA 2011
Robotics › Robot manipulation › cooperative manipulation
multi-robot manipulation
0.112011
Design of a low-cost series elastic actuator for multi-robot manipulation · ICRA 2011
Robotics › Robot manipulation
force sensing
0.012011
Design of a low-cost series elastic actuator for multi-robot manipulation · ICRA 2011

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

strain-based force sensing · 0.1force-following control · 0.1
YearPublicationVenuePosition
2011 Design of a low-cost series elastic actuator for multi-robot manipulation
abstract
We describe a proof-of-concept design for a low-cost two-degree-of-freedom robotic arm that incorporates series elastic actuators (SEAs) with force sensing. The cost effectiveness of the design will enable the construction of compliant manipulators for multi-robot systems with large populations. The arm assembly attaches to a commercially available mobile robot chassis to perform multi-robot coordination. In this work, we present the design of a robot arm and data from experiments to characterize the accuracy and resolution of the force sensing. We describe a force-following manipulation experiment using two robots. The experiment measures strain on a rigid bar between two robots. The data shows the feasibility of using SEAs for force sensing to reduce the strain in the bar. This is the first step towards a distributed force controller for multi-robot object coordination with large numbers of robots.
Emma Campbell, Zhao Chad Kong, William Hered, Andrew J. Lynch, Marcia Kilchenman O'Malley, James McLurkin
ICRA3