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Cheryl B. Schrader

dblp:71/5896 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › impedance control
hybrid impedance control
0.012003
Impact when robots act wisely · ICRA 2003
Robotics › Motion planning and robot control › robot control › force control
impact force control
0.012003
Impact when robots act wisely · ICRA 2003
Robotics › Motion planning and robot control
robot control
0.012003
Impact when robots act wisely · ICRA 2003

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

time-delay control · 0.0bang-bang control · 0.0adaptive control · 0.0
YearPublicationVenuePosition
2003 Impact when robots act wisely
abstract
For stabilization of a robot manipulator upon collision with a stiff environment, a nonlinear bang-bang impact controller is developed. Under this control, a robot can successfully achieve contact tasks without changing control algorithm or controller gains throughout all three modes: free space, transition and constrained motion. It uses a robust hybrid impedance/time-delay control algorithm to absorb impact forces and stabilize the system. This control input alternates with zero when no environment force is sensed due to loss of contact. This alternation of control action repeats until the impact transient subsides and steady state is established. After impact transient, the hybrid impedance/time-delay control algorithm is utilized. This bang-bang control method provides stable interaction between a robot with severe nonlinear joint friction and a stiff environment and achieves rapid response while minimizing force overshoots. During contact transition, we employ one simple control algorithm with same gains that switches only to zero, while other controllers use more than one control algorithms or different control gains. It is shown via experiments that overall controlled performance is superior or comparable to existing impact force control techniques.
Eunjeong Lee, Juyi Park, Cheryl B. Schrader, Pyung Hun Chang
ICRA3