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Juncheng Li | Jason Li
Personal Website
ABOUT ME
I am a Ph.D. in Mechanical Engineering at Purdue University, advancing my expertise in robotics at the Multi-Scale Robotics and Automation Lab (MSRAL) under the guidance of Professor David Cappelleri. My research endeavors, bolstered by initiatives such as the NASA-funded RETHi Institute, delve into manipulation, grasping policy, modular end-effector systems, vision language models, and computer vision. My academic journey began with a B.E. in Mechanical Engineering, from Stony Brook University, followed by an M.S.E. in Robotics from the GRASP Lab at the University of Pennsylvania. My professional journey was further enriched with a summer internship (2023) as an Applied Scientist at Amazon Robotics.
EDUCATION
Juncheng (Jason) Li
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Ph.D. Mechanical Engineering, Purdue University, West Lafayette, IN, 2024
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M.S.E Robotics, University of Pennsylvania, Philadelphia, PA, 2020
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B.E. Mechanical Engineering, Stony Brook University, Stony Brook, NY, 2018
EXPERIENCE
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2023.5–2023.8 Applied Scientist Internship, Amazon Robotics, North Reading, MA
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2024.7– Now Applied Scientist, Amazon Robotics, North Reading, MA
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PUBLICATIONS
Sim-Grasp Learning 6-DOF Grasp Policies for Cluttered Environments Using a Synthetic Benchmark
Juncheng Li and David Cappelleri
Sim-Suction: Learning a Suction Grasp Policy for Cluttered Environments Using a Synthetic Benchmark
Juncheng Li and David Cappelleri
Sim-MEES: Modular End-Effector System Grasping Dataset for Mobile Manipulators in Cluttered Environments
Juncheng Li and David Cappelleri
Modular End-Effector System for Autonomous Robotic Maintenance & Repair
Arindam B Chowdhury, Juncheng Li, David J Cappelleri
Arindam B Chowdhury, Juncheng Li, David J Cappelleri
International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
TEACHING
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2022.9–2022.12 Graduate Teaching Assistant, ME 263, Introduction To Mechanical Engineering Design, Innovation And Entrepreneurship
SERVICES
Academic Peer Review
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IEEE International Conference on Robotics and Automation (ICRA)
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IEEE-RAS International Conference on Soft Robotics (RoboSoft 2023)
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Academic Journal Peer Review IEEE Transactions on Robotics (T-RO)
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IEEE Robotics and Automation Letters (RA-L)
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IEEE Transactions on Automation Science and Engineering (T-ASE)
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