Yuwei Wu
Scholar

Yuwei Wu

Google Scholar ID: H4sNIhwAAAAJ
Ph.D. candidate, GRASP Lab, University of Pennsylvania
RoboticsTrajectory OptimizationTask and Motion Planning
Citations & Impact
All-time
Citations
328
 
H-index
9
 
i10-index
7
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Two papers accepted to IEEE MRS 2025 (Sep. 2025)
  • One paper accepted to IEEE/RSJ IROS 2025 as a Best Paper Award Finalist (Jun. 2025)
  • Selected for Oral Highlights at IEEE ICRA 2025 Doctoral Consortium (Apr. 2025)
  • Co-organized RSS 2025 workshop 'Leveraging Implicit Methods for Aerial Autonomy' (Mar. 2025)
  • Paper accepted to DARS 2024 and nominated for Best Paper Award (Sep. 2024)
  • Paper accepted to IEEE/RSJ IROS 2024 (Jun. 2024)
  • Multiple papers published in IEEE RA-L (2024–2025)
  • Advanced to Ph.D. candidacy after passing qualifying exam (Jan. 2023)
  • Papers accepted to IEEE ICRA annually from 2023 to 2025
  • Open-source work featured by ROS and Open Robotics on X (Jun. 2024)
  • Drone research demo covered by PHL17 News (Nov. 2024)
Background
  • Fourth-year Ph.D. candidate in Electrical and Systems Engineering at the University of Pennsylvania
  • Member of the General Robotics, Automation, Sensing, and Perception (GRASP) Laboratory
  • Research focuses on motion planning and trajectory optimization for mobile robots in dynamic, uncertain, and complex real-world environments
  • Research interests include: (multi-agent) task and motion planning, (learning-enabled) trajectory generation and optimization, and applications such as exploration, tracking, and navigation
  • Aims to push the foundational limits of optimization problems, improve system robustness, and provide long-horizon guarantees for next-generation intelligent robots