
Peng Cheng
Research Scientist
(Advisor: Prof. Vijay Kumar),
GRASP Laboratory, University
of Pennsylvania
[ Education | Research
| Teaching | Publications | Contact ]
What is
New:
Education:
(top)
- Ph.D., Computer Science, University of Illinois
at Urbana-Champaign, 2005. (Advisor: Prof. Steven M. LaValle)
- M.S., Computer Science, Iowa State
University, 2001.
(Advisor: Prof. Steven M.
LaValle)
- B.E., M.E., Electrical Engineering, Tsinghua University, 1996, 1999.
(Advisors: Prof. Wenjuan Lu and Prof. Zengqi Sun)
Research:
(top)
My research lies at the interface of computation, control, dynamics, and
mechanics. My current focus is studying control space approaches to develop
novel motion planning, control, modeling, simulation, validation, verification
algorithms for robotic systems with two applications in 1) manipulation systems
for flexible assembly at micro (1μm-100μm), meso (100μm-10mm),
and macro scale and 2) mobile robotic sensor network systems (consisting of
multiple heterogeneous unmanned autonomous vehicles equipped with onboard
sensors and network devices). Projects I am currently involved include:
- Abstractions and algorithms
for manipulation tasks with uncertainty
- Intelligent Control and
Autonomous Replanning of Unmanned Systems (ICARUS)
- Distributed coordination of
large UAV teams with limited and intermittent communication
- Popper, a verification and
falsification toolbox
Teaching:
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Publications:
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Cooperative Towing with Multiple
Robots
Peng Cheng and Jon Fink and Vijay Kumar and Jong-Shi Pang
Journal of Mechanism and Robotics, 2008 (submitted).
[pdf] [bib]
Abstractions and Algorithms for
Cooperative Multiple Robot Planar Manipulation
Peng Cheng and Jon Fink and Vijay Kumar
Robotics: Science and Systems, 2008.
[pdf] [bib]
[video]
Time-Optimal UAV Trajectory Planning for 3D Urban
Structure Coverage
Peng Cheng and James Keller and Vijay Kumar
IEEE/RSJ International Conference on Intelligent Robots and Systems,
2008 (submitted).
[pdf] [bib]
Cooperative Towing with Multiple
Robots
Jon Fink, Peng Cheng, and Vijay Kumar
Design Engineering Technical Conferences & Computers and
Information in Engineering Conference, 2008.
[pdf] [bib]
[video]
Improving the Performance of Sampling-Based Motion Planning
with Symmetry-Based Gap Reduction
Peng Cheng, Emilio Frazzoli, and Steven M. LaValle
IEEE Trans. on Robotics, 2008.
[pdf] [bib]
An
Almost Communication-Less Approach to Task Allocation for Multiple
Unmanned Aerial Vehicles
Peng Cheng and Vijay Kumar
International Conference on Robotics and Automation, 2008.
[pdf] [bib]
[video]
Meso-scale
Manipulation: System, Modeling, Planning and Control
David J. Cappelleri, Peng Cheng, Jonathan Fink, Bogdan Gavrea, and Vijay
Kumar
International Conference on Robotics and Automation, video
submission, 2008.
[video] [bib]
Planning
and Control of Meso-scale Manipulation Tasks with Uncertainties
Peng Cheng, David J. Cappelleri, Bogdan Gavrea, and Vijay Kumar
Robotics: Science and Systems, 2007.
[pdf] [bib] [link
to the MSRS blog] [video]
Decidability
of motion planning with differential constraints
Peng Cheng, George Pappas, and Vijay Kumar
IEEE International Conference on Robotics and Automation, 2007.
[pdf] [bib]
Sampling-based Falsification and Verification of
Controllers for Continuous Dynamic Systems
Peng Cheng and Vijay Kumar
International Journal of Robotics Research (invited as one of
selected papers in
The Seventh International Workshop on the Algorithmic Foundations of
Robotics (WAFR), 2006.)
[pdf] [bib1]
[bib2] [video]
- Cooperative
Control of UAVs for Search and Coverage
A. Ahmadzadeh, G. Buchman, P. Cheng, A. Jadbabaie, J. Keller, V. Kumar, and
G. Pappas
Proceedings of the AUVSI Conference on Unmanned Systems, 2006.
[bib]
- Motion
Planning for the Roller Racer with a Sticking/Slipping Switching Model
Peng Cheng, Emilio Frazzoli, and Vijay Kumar
IEEE International Conference on Robotics and Automation, 2006.
[pdf] [bib]
- Resolution
completeness for sampling-based motion planning with differential
constraints
Peng Cheng and Steven M. LaValle
International Journal of Robotics Research (under revision after
the second submission review).
[bib]
- Sampling-Based
Motion Planning with Differential Constraints
Peng Cheng
PhD thesis, University of Illinois, Urbana, Illinois, August 2005.
[pdf] [bib]
- Iteratively
Locating Voronoi Vertices for Dispersion Estimation
Stephen R. Lindemann and Peng Cheng
IEEE International Conference on Robotics and Automation, 2005.
[pdf] [bib]
- RoboTrikke:
A Novel Undulatory Locomotion System
Sachin Chitta, Peng Cheng, Emilio
Frazzoli, and Vijay Kumar
IEEE International Conference on Robotics and Automation, 2005.
[pdf] [bib]
[video]
- Algorithms
for Planning under Uncertainty in Prediction and Sensing
J. O'Kane, B. Tovar, P. Cheng, and S. M. LaValle
Autonomous Mobile Robots: Sensing, Control, Decision-Making, and
Applications, S.S. Ge and F. L. Lewis (Eds.)
Series in Control Engineering, Marcel Dekker, 2006.
[bib]
- Improving
the Performance of Sampling-Based Planners by Using a Symmetry-Exploiting
Gap Reduction Algorithm
Peng Cheng and Emilio Frazzoli, and Steven M. LaValle
IEEE International Conference on Robotics and Automation, 2004.
[pdf] [bib]
[video of dynamics] [video of orientation constraints] [video of a solution] [image]
- Exploiting
Group Symmetries to Improve Precision in Kinodynamic and Nonholonomic
Planning
Peng Cheng and Emilio Frazzoli, and Steven M. LaValle
IEEE/RSJ International Conference on Intelligent Robots and Systems,
2003.
[pdf] [bib]
- Resolution
Complete Rapidly-Exploring Random Trees
Peng Cheng and Steven M. LaValle
IEEE International Conference on Robotics and Automation, 2002.
[pdf] [bib]
[video] [image]
- Reducing
RRT metric sensitivity for motion planning with differential constraints
Peng Cheng
Masters thesis, Iowa
State University,
2001.
[pdf] [bib]
- RRT-Based
Trajectory Design for Autonomous Automobiles and Spacecraft
Peng Cheng, Zuojun Shen, and Steven M. LaValle
Archives of Control Sciences, Vol. 11 (XLVII), No, 3-4, pages
167-194, 2001.
[pdf] [bib]
- Reducing
Metric Sensitivity in Randomized Trajectory Design
Peng Cheng and Steven M. LaValle
IEEE/RSJ International Conference on Intelligent Robots and Systems,
2001.
[pdf] [bib]
[video1] [video2]
[image]
- Using
Randomization to Find and Optimize Feasible Trajectories for Nonlinear
Systems
Peng Cheng, Zuojun Shen, and Steven M. LaValle
Proc. 38th Annual Allerton Conference on Communication, Control, and
Computing, 2000.
[pdf] [bib]
Contact: (top)
Levine Hall
L402, GRASP Laboratory
University of
Pennsylvania
3330 Walnut
Street
Philadelphia, PA
19104-6228
Email: chpeng
(at) seas (dot) upenn (dot) edu