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Peter Ferenz

dblp:213/9282 · 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
Robot manipulation · 61% Motion planning and robot control · 30% Legged, aerial and field robots · 9%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412019
Resilient Task Planning and Execution for Reactive Soft Robots · ICRA 2019
Robotics › Motion planning and robot control › robot control
reactive control
0.412019
Resilient Task Planning and Execution for Reactive Soft Robots · ICRA 2019
Robotics › Robot manipulation › grasping
soft robotic grasping
0.412019
Resilient Task Planning and Execution for Reactive Soft Robots · ICRA 2019
Robotics › Legged, aerial and field robots › robot locomotion
soft robot locomotion
0.112019
Resilient Task Planning and Execution for Reactive Soft Robots · ICRA 2019

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

linear temporal logic · 0.4formal synthesis · 0.4
YearPublicationVenuePosition
2019 Resilient Task Planning and Execution for Reactive Soft Robots
abstract
Soft robots utilize compliant materials to perform motions and behaviors not typically achievable by rigid bodied systems. These materials and soft actuator fabrication methods have been leveraged to create multigait walking soft robots. However, soft materials are prone to failure, restricting the ability of soft robots to accomplish tasks. In this work we address the problem of generating reactive controllers for multigait walking soft robots that are resilient to actuator failure by applying methods of formal synthesis. We present a sensing-based abstraction for actuator performance, provide a framework for encoding multigait behavior and actuator failure in Linear Temporal Logic (LTL), and demonstrate synthesized controllers on a physical soft robot.
Scott Hamill, John Whitehead, Peter Ferenz, Robert F. Shepherd, Hadas Kress-Gazit
ICRA3