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: (top)

  • Robotics and Motion Planning
    Instructor, Mechanical Engineering and Applied Mechanics, University of Pennsylvania
    Spring 2006, 2007, 2008
  • Robotic Motion Planning
    Invited instructor, Electrical and Computer Engineering, University of Illinois
    Spring 2005

Publications: (top)

  •  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