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Peng Pan 0002

dblp:03/4293-2 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2004
0000-0003-0096-6801ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 · 56% Motion planning and robot control · 44%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 62% Human-robot interaction · 38%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › nonprehensile manipulation
dynamic manipulation
0.012002
Stable limit sets in a dynamic parts feeder · IEEE Trans. Robotics Autom. 2002
Robotics › Motion planning and robot control › robot control
open-loop control
0.012002
Stable limit sets in a dynamic parts feeder · IEEE Trans. Robotics Autom. 2002
Human-robot interaction › assistive robotics
assistive manipulation
0.012004
Static Single-arm Force Generation with Kinematic Constraints · ICRA 2004
Human-robot interaction
physical human-robot interaction
0.012004
Static Single-arm Force Generation with Kinematic Constraints · ICRA 2004
Robotics › Robot manipulation › industrial manipulation
parts feeding
0.012002
Stable limit sets in a dynamic parts feeder · IEEE Trans. Robotics Autom. 2002

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

scale-invariant objective function · 0.0convex optimization · 0.0recurrence analysis · 0.0
YearPublicationVenuePosition
2004 Static Single-arm Force Generation with Kinematic Constraints
abstract
This study investigates natural single-arm interaction with kinematic constraints. Smooth, frictionless, kinematic constraints reduce the degrees-of-freedom of motion at the hand, but add force freedoms. These force freedoms allow the hand to push and pull against the constraints with no effect on the task. Understanding how subjects take advantage of kinematic constraints will be useful in designing constraint surfaces for assisted manipulation. This paper reports the results of an experiment studying how subjects make use of the presence of a kinematic constraint in a static planar single-arm task. Subjects are asked to hold a handle that is free to slide on a linear rail, and to apply a force tangent to the rail to resist a pulling force. Thus the goal of the task is to hold the handle stationary. Subjects are also free to apply any force normal to the rail, as these forces have no effect on the task. This freedom does not exist without a kinematic constraint. We find that subjects make use of the force freedom by applying significant forces against the constraint in a consistent and constraint-configuration-dependent fashion. We show that the constraint forces can be predicted by a convex, scale-invariant objective function on the hand force space. The level curves of this objective function can be found directly from the experimental data without any biomechanical modeling.
Peng Pan 0002, Kevin M. Lynch, Michael A. Peshkin, J. Edward Colgate
ICRA1
2002 Stable limit sets in a dynamic parts feeder
abstract
We describe a one-joint planar arm which repeatedly throws and catches parts on its surface, and we demonstrate that proper choice of the throw velocity and arm geometry guarantees that the part will enter a unique recurrent motion pattern from a large set of initial configurations. The resulting system resembles an open-loop stable juggler of polygonal parts. Combined with a simple 1-bit sensor, the system can be used as a parts feeder.
Kevin M. Lynch, Michael Northrop, Peng Pan 0002
IEEE Trans. Robotics Autom.3
2001 Stable limit set behavior in a dynamic parts feeder
abstract
We describe a one-joint planar arm which repeatedly throws and catches parts on its surface, and we demonstrate that proper choice of the throw velocity and arm geometry guarantees that the part will enter a unique recurrent motion pattern from a large set of initial configurations. The resulting system resembles an open-loop stable juggler of polygonal parts.
Kevin M. Lynch, Michael Northrop, Peng Pan 0002
IROS3