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Perry Y. Li

dblp:39/5367 · DBLP profile ↗
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7ranked-venue papers
2as first author
0since 2021 · last 2005
0000-0001-6433-3945ORCID · corroborated

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

Artificial intelligence and machine learning · 4 · 1 first-authorSystems, architecture and hardware · 4 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 3 · 1 first-author

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
7 papers
Motion planning and robot control · 80% Legged, aerial and field robots · 6% Multi-agent systems · 6%
Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 100%

Topics — the 13 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.132005
Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators · IEEE Trans. Robotics 2005
Passive bilateral feedforward control of linear dynamically similar teleoperated manipulators · IEEE Trans. Robotics Autom. 2003
Passive velocity field control of mechanical manipulators · IEEE Trans. Robotics Autom. 1999
Robotics › Motion planning and robot control › teleoperation
bilateral control
0.122005
Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators · IEEE Trans. Robotics 2005
Passive bilateral feedforward control of linear dynamically similar teleoperated manipulators · IEEE Trans. Robotics Autom. 2003
Robotics › Motion planning and robot control › robot control › human-in-the-loop control
teleoperation control
0.122005
Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators · IEEE Trans. Robotics 2005
Passive bilateral feedforward control of linear dynamically similar teleoperated manipulators · IEEE Trans. Robotics Autom. 2003
Human-robot interaction › teleoperation
bilateral teleoperation
0.122002
Passive Tool Dynamics Rendering for Nonlinear Bilateral Teleoperated Manipulators · ICRA 2002
Passive Coordination Control of Nonlinear Bilateral Teleoperated Manipulators · ICRA 2002
Robotics › Legged, aerial and field robots
field robotics
0.012000
A Miniature Robotic System for Reconnaissance and Surveillance · ICRA 2000
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
multi-robot team
0.012000
A Miniature Robotic System for Reconnaissance and Surveillance · ICRA 2000
Robotics › Motion planning and robot control › robot control
energy-based control
0.011999
Passive velocity field control of mechanical manipulators · IEEE Trans. Robotics Autom. 1999
Robotics › Robot navigation and mapping
obstacle avoidance
0.012005
Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators · IEEE Trans. Robotics 2005
Robotics › Motion planning and robot control
manipulator control
0.011995
Passive Velocity Field Control of Mechanical Manipulators · ICRA 1995
Robotics › Motion planning and robot control › robot control › motion control
velocity field control
0.011995
Passive Velocity Field Control of Mechanical Manipulators · ICRA 1995
Robotics › Robot manipulation › telemanipulation
teleoperated manipulator
0.012002
Passive Coordination Control of Nonlinear Bilateral Teleoperated Manipulators · ICRA 2002
Robotics › Robot manipulation › telemanipulation
teleoperated manipulator control
0.012002
Passive Tool Dynamics Rendering for Nonlinear Bilateral Teleoperated Manipulators · ICRA 2002
Robotics › Motion planning and robot control › robot control
passivity-based control
0.011995
Passive Velocity Field Control of Mechanical Manipulators · ICRA 1995

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

passivity-based control · 0.1passive velocity field control · 0.1nonlinear control · 0.1fictitious energy storage · 0.1bilateral power scaling · 0.1artificial potential function · 0.1energetic passivity · 0.1artificial potential field control · 0.1kinematic feedback control · 0.0bilateral force feedforward · 0.0
YearPublicationVenuePosition
2005 Passive bilateral control and tool dynamics rendering for nonlinear mechanical teleoperators
abstract
We propose a passive bilateral teleoperation control law for a pair of n-degree-of-freedom (DOF) nonlinear robotic systems. The control law ensures energetic passivity of the closed-loop teleoperator with power scaling, coordinates motions of the master and slave robots, and installs useful task-specific dynamics for inertia scaling, motion guidance, and obstacle avoidance. Consequently, the closed-loop teleoperator behaves like a common passive mechanical tool. A key innovation is the passive decomposition, which decomposes the 2n-DOF nonlinear teleoperator dynamics into two robot-like systems without violating passivity: an n-DOF shape system representing the master-slave position coordination aspect, and an n-DOF locked system representing the dynamics of the coordinated teleoperator. The master-slave position coordination is then achieved by regulating the shape system, while programmable apparent inertia of the coordinated teleoperator is achieved by scaling the inertia of the locked system. To achieve this perfect coordination and inertia scaling, the proposed control law measures and compensates for environment and human forcing. Passive velocity field control and artificial potential field control are used to implement guidance and obstacle avoidance for the coordinated teleoperator. The designed control is also implemented in an intrinsically passive negative semidefinite structure to ensure energetic passivity of the closed-loop teleoperator, even in the presence of parametric model uncertainties and inaccurate force sensing. Experiments are performed to validate the properties of the proposed control framework.
Perry Y. Li
IEEE Trans. Robotics2
2003 Passive bilateral feedforward control of linear dynamically similar teleoperated manipulators
abstract
Presents a passive bilateral feedforward control scheme for linear dynamically similar (LDS) teleoperated manipulators with kinematic scaling and power scaling. The proposed control law renders the teleoperator as a passive rigid mechanical tool with programmable apparent inertia to the human operator and the work environment by utilizing bilateral force feedforward and kinematic feedback control. The passivity of the closed-loop system is robust to force measurement inaccuracies and model uncertainty. Thus, interaction stability of the teleoperator with any passive environment is guaranteed. Coordination error and the overall motion aspects of teleoperation are controlled individually. The proposed control law is also applicable to general nonlinear robotic teleoperators if sufficiently high kinematic feedback gains are used. The proposed control schemes have been validated experimentally for both LDS and non-LDS systems.
Perry Y. Li
IEEE Trans. Robotics Autom.2
2002 Passive Coordination Control of Nonlinear Bilateral Teleoperated Manipulators
abstract
In this paper, a teleoperation controller is proposed for a pair of nonlinear master and slave manipulators. The control law enables the nonlinear robots to be perfectly coordinated despite arbitrary environment and human forcings, while ensuring that the closed loop teleoperator system is passive with respect to a supply rate that includes a user specified bilateral power scaling factor. After perfect coordination has been attained, the control law constrains n degrees of freedom (DOF). The dynamics of the remaining n degrees of freedom resembles those of a usual rigid robot. Thus, the teleoperator becomes a common rigid mechanical tool with which both the human operator and the physical environment interact.
Perry Y. Li
ICRA2
2002 Passive Tool Dynamics Rendering for Nonlinear Bilateral Teleoperated Manipulators
abstract
In a previous paper (see ibid., p. 3278-83), a control law renders a 2n-degree of freedom (DOF) nonlinear teleoperator (consisting of n-DOF master and slave robots) as a n-DOF common passive mechanical tool which has the usual robotic dynamics. In this paper, we develop a control methodology to endow the resulting n-DOF common passive mechanical tool with useful passive tool dynamics which incorporates inertia scaling, guidance/avoidance system while preserving energetic passivity of the closed-loop system. A fictitious energy storage is used to scale the apparent inertia of the teleoperator. The passive velocity field control for a velocity field tracking and artificial potential function are utilized for guidance/avoidance system. Thus, with the control law proposed previously, the control law renders the 2n-DOF teleoperator as a n-DOF common passive mechanical tool which has programmable apparent inertia and moves under the effects of velocity/potential field tailored to task objectives and obstacles in the workspace.
Perry Y. Li
ICRA2
2000 A Miniature Robotic System for Reconnaissance and Surveillance
abstract
Presents a miniature robotic system ("scout") useful for reconnaissance and surveillance missions. A large number of scout robots are deployed and controlled by humans and/or larger "ranger" robots. The specially designed and constructed scouts are extremely small (roughly 116cc volume) yet are readily deployable (by tossing or launching), have multiple mobility modes, have multiple sensing capabilities, can transmit and receive data and instructions, and have a limited capability for autonomous action. The rangers are significantly larger vehicles, based on a commercial-off-the-shelf platform, augmented with scout launchers, radios, and additional sensors. Together, the scouts and rangers form a hierarchical team capable of carrying out complex missions in a wide variety of environments.
Dean F. Hougen, Saifallah Benjaafar, Jordan Bonney, John Budenske, Mark Dvorak, Maria L. Gini, Howard French, Donald G. Krantz, Perry Y. Li, Fred Malver, Bradley J. Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Sascha Stoeter, Richard M. Voyles, Kemal Berk Yesin
ICRA9
1999 Passive velocity field control of mechanical manipulators
abstract
Two concepts are advocated for the task specification and control of mechanical manipulators: 1) coding tasks in terms of velocity fields; 2) designing controllers so that the manipulator when under feedback control, interacts in an energetically passive manner with its physical environment. Based on these two concepts, a new passive velocity field controller is proposed which mimics the behavior of a passive energy storage element, such as a flywheel or a spring. It stores and releases energy while interacting with the manipulator, but does not generate any. The controller has the interesting property that it stabilizes any multiple (positive or negative) of the desired velocity field, and exponentially stabilizes the particular multiple of the desired velocity field which is determined by the total kinetic energy of the manipulator control system.
Perry Y. Li, Roberto Horowitz
IEEE Trans. Robotics Autom.1
1995 Passive Velocity Field Control of Mechanical Manipulators
abstract
Two concepts for the task specification and control for mechanical manipulators are advocated: the coding of tasks in terms of velocity fields; and controllers that maintain the passivity relationship between the manipulator and its physical environment. A passive velocity field tracking controller is proposed. The proposed dynamic controller mimics a flywheel: it stores and releases energy to the manipulator, but does not generate any. The controller has the interesting property that it stabilizes any multiple (positive or negative) of the desired velocity field, and exponentially stabilizes the particular multiple which is related to the total kinetic energy of the manipulator+controller.
Perry Y. Li, Roberto Horowitz
ICRA1