Sheng Cheng 程 晟

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Postdoctoral Research Associate
Department of Mechanical Science and Engineering,
University of Illinois Urbana-Champaign

Email: chengs [@] illinois [DOT] edu
GitHub: Sheng-Cheng

About me

Hello! Thank you for visiting my website. I'm a postdoc at UIUC working with Prof. Naira Hovakimyan. I received my Ph.D. in Electrical Engineering from the University of Maryland, under the supervision of Prof. Derek A. Paley in 2021. My Curriculum Vitae can be found here.

Recent news

  • 2022/12: Our new paper on DiffTune+ has been submitted!

  • 2022/11: Our new paper on fast UAV trajectory planning via simultaneous spatial and temporal assignments has been submitted! The preprint is available on arxiv.

  • 2022/11: A compilation of demos for robust quadrotor flight against uncertainties is available on YouTube. The paper will be submitted soon.

  • 2022/09: Our new paper on DiffTune has been submitted! The preprint is available on arxiv. The video can be found here.

  • 2022/09: Our new paper on the control of omnidirection multirotor vehicles has been submitted! The preprint is available on arxiv. The video can be found here.

  • 2022/01: Our paper on L1 augmentation of geometric tracking control for quadrotors has been presented at ICRA 2022! The paper can be accessed here. The video for experiments can be found here.

  • 2022/01: Our paper on optimal estimation of a 2D diffusion-advection process has been accepted for publication by Automatica. The paper can be accessed here

  • 2021/07: I will join UIUC as a Postdoctoral Research Associate working with Prof. Naira Hovakimyan since Fall 2021.

Research

Research Interests

Robotics; Adaptive control; Optimization; PDE control and estimation; Cooperative control;

Publications

  1. S. Cheng, L. Song, M. Kim, S. Wang, N. Hovakimyan, “DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation” submitted.

  2. Q. Chen, S. Cheng, N. Hovakimyan, “ Simultaneous Spatial and Temporal Assignment for Fast UAV Trajectory Optimization using Bilevel Optimization,” submitted. preprint

  3. S. Cheng, M. Kim, L. Song, Z. Wu, S. Wang, N. Hovakimyan, “DiffTune: Auto-Tuning through Auto-Differentiation,” submitted. preprint | video

  4. H. Lee, S. Cheng, Z. Wu, N. Hovakimyan, “Geometric Tracking Control of Omnidirectional Multirotors in the Presence of Rotor Dynamics,” submitted. preprint | video

  5. Z. Wu, S.Cheng, K. A. Ackerman, A. Gahlawat, A. Lakshmanan, P. Zhao, N. Hovakimyan, “L1 Adaptive Augmentation for Geometric Tracking Control of Quadrotors,” in Proceedings of the International Conference on Robotics and Automation (ICRA), 2022, pp. 1329–1336. code | video

  6. S. Cheng and D. A. Paley, “Optimal guidance and estimation of a 2D diffusion-advection process by a team of mobile sensors,” Automatica, vol. 137, p. 110112, 2022.

  7. S. Cheng and D. A. Paley, “Cooperative estimation and control of a diffusion based spatiotemporal process using mobile sensors and actuators,” submitted.

  8. S. Cheng and D. A. Paley, “Optimal control of a 2D diffusion-advection process with a team of mobile actuators under jointly optimal guidance,” Automatica, vol. 133, p. 109866, 2021.

  9. S. Cheng and D. A. Paley, “Optimal guidance of a team of mobile actuators for controlling a 1D diffusion process with unknown initial conditions,” in Proceedings of the 2021 American Control Conference, pp. 1493-1498, 2021.

  10. S. Cheng and N. C. Martins, “An Optimality Gap Test for a Semidefinite Relaxation of a Quadratic Program with Two Quadratic Constraints,” SIAM Journal on Optimization, vol. 31, no. 1, pp. 866-886, March 2021. | code

  11. S. Cheng and D. A. Paley, “Optimal guidance and estimation of a 1D diffusion process by a team of mobile sensors,” in Proceedings of the 59th IEEE Conference on Decision and Control, pp. 1222-1228, 2020. | slides | video

  12. S. Cheng and D. A. Paley, “Optimal control of a 1D diffusion process with a team of mobile actuators under jointly optimal guidance,” in Proceedings of the 2020 American Control Conference, pp. 3449-3454, 2020. | slides | video

  13. A. Wolek, S. Cheng, D. Goswami, and D. A. Paley, “Cooperative mapping and target search over an unknown occupancy graph using mutual information,” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1071-1078, April 2020.

  14. S. Cheng and N. C. Martins, “Reaching a target in a time-costly area using a two-stage optimal control method,” in Proceedings of the 2019 American Control Conference, pp. 4903-4910, 2019. | slides

  15. S. Cheng, “Reaching a target within a GPS-denied or costly area: a two-stage optimal control approach,” M.S. Thesis, University of Maryland, College Park, MD, 2018.

Current Project

TBD
Duration: September 2021 - present
Advisor: Prof. Naira Hovakimyan
Project description: will be updated soon.

Past Projects

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Mobile estimation and control of a dynamical spatiotemporal process
Duration: January 2019–July 2021
Advisor: Dr. Derek Paley
Project description: The long-term goal of this project is to enable multiple autonomous agents to adaptively estimate and possibly control a dynamical spatiotemporal process (e.g., harmful algal blooms or forest fires). The specific research objective is to apply tools from the theory of infinite-dimensional systems, nonlinear estimation, optimal experiment design, inverse problems, network science, uncertainty quantification, and multi-vehicle control to solve the problem of (i) estimation and control of a dynamical spatiotemporal process and (ii) task allocation for a heterogeneous group of resource-constrained agents.

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Cooperative mapping, searching, and tracking in an uncertain urban environment
Duration: September 2018–July 2019
Advisor: Dr. Derek Paley
Project description: In this project, we propose a cooperative mapping and search algorithm for detecting a single moving target in an urban environment that is initially unknown to a team of autonomous quadrotors equipped with noisy sensors with a limited field of view. This algorithm is being tested with real quadrotors and a simulated target at the Fearless Flight Facility (F3) of the University of Maryland. This work is in collaboration with Dr. Artur Wolek and Heron Systems Inc.

Video

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Reaching a target within a GPS-denied or costly area: a two-stage optimal control approach
Duration: July 2016–August 2018
Advisor: Dr. Nuno Martins
Project description: In this project, we study a new class of problem where a mobile agent is controlled to reach a target that is either costly or GPS denied. We formulate a two-stage optimal control problem and propose solution methods. For the case of GPS denied area, we validate the controller in a quadrotor experiment (demo).
This work was supported by the Air Force Center of Excellence: Nature Inspired Flight Technologies and Ideas (NIFTI).

Poster

Honors and Awards

Teaching and Mentoring

Service

Address

MEL 2009
University of Illinois Urbana-Champaign
Urbana, IL 61801

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