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Gregory Tracy

dblp:151/9713 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-4848-9186ORCID · reported

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 · 67% Language models and text generation · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
mobile manipulation
0.212014
Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014
Robotics › Robot manipulation
tool generation
0.212014
Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014
Natural language and speech › Language models and text generation › LLM agents
tool use
0.212014
Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014

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

simulation · 0.2
YearPublicationVenuePosition
2014 Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation
abstract
Mobile manipulators and humanoid robots should have the ability to use objects in their environments. Previous work has shown significant advantages to robots that can remove objects that interfere with their goal. We propose the next step. Just like the fictional character ‘MacGyver,’ robots should construct simple machines and tools from arbitrary objects. This video presents our progress in developing and validating ‘MacGyver’ skills in a simulated rescue mission.
Mike Stilman, Munzir Zafar, Can Erdogan, Saul Reynolds-Haertle, Gregory Tracy
ICRA6