Curriculum Vitae

Pengyu Jing

jingpengyu22@gmail.com · Robot learning and manipulation

Download PDF Back to homepage

Education

National University of SingaporeAug 2026 – Expected 2030
Ph.D. in Electrical and Computer Engineering · Singapore
National University of SingaporeAug 2025 – Jul 2026
M.Sc. in Robotics · Singapore
  • Cumulative GPA: 4.45/5.0
University of Electronic Science and Technology of ChinaSep 2021 – Jun 2025
B.Eng. in Robotics Engineering · Chengdu, China
  • Cumulative GPA: 3.84/4.0
University of CambridgeJan 2024 – Feb 2024
Frontier Research Program in Deep Learning and Deep Neural Networks · Cambridge, UK

Skills

Programming: C/C++, Python, MATLAB

Robot Learning / ML: PyTorch, DSRL, PPO, VLA, π0

Robotics / Simulation: ROS/ROS 2, MPPI, FLASH, Isaac Sim, PyBullet, MuJoCo, LIBERO, MetaWorld

Hardware: STM32, CAN, UART, SPI, PCB design, Altium Designer, SolidWorks, 3D printing

Publications

RARM: Confidence-Gated Progress Reward Modeling for RL in Manipulation. Yang, P.*, Wang, X.*, Jing, P.*, Wen, K.*, Qu, Y., Huang, Z., Fu, M., Liu, X., Shen, Y., & Shi, F. CoRL, 2026.
Enabling Robust Cloth Manipulation via Inference-Time Simulator-in-the-Loop Refinement. Liu, X., Li, Y., Li, Z., Jing, P., Huang, Z., Zhou, B., Zeng, Z., Luo, S., Qi, C., & Shi, F. CoRL, 2026.
Design and Testing of a Pleurotus pulmonarius Stick Cutting Machine. Cai, C., Jing, P., Wang, L., Niu, Q., Jiao, H., Ma, C., & Li, C. Agriculture, 14(10), 1795, 2024.
An Intermittent Fertilization Control System for Fruit Tree Crown Detection. Yin, H., Jing, P., Ma, C., Cao, L., Li, C., & Wang, L. Agriculture, 14(11), 1867, 2024.

Project Experience

ABU Robocon Elephant and Bunny Robots — National Champion ProjectSep 2022 – Aug 2023
Electrical Group Leader · UESTC Robocon Team
  • Designed the STM32F405 main control board and embedded firmware for motor control, sensor processing, and CAN communication.
  • Developed an STM32F722 encoder and six-axis IMU board integrating ICM-42688 through SPI and CAN.
  • Designed a DT35 laser-distance sensing board using STM32F302 and ADS8864 ADC sampling.
  • Designed a compact VESC-style FOC motor driver with torque, velocity, and position control loops.
  • Integrated the complete robot and developed an ESP32/NRF handheld controller.

Honors & Awards

China National Robocon — ChampionJul 2023
China National Robocon — Best Design AwardJul 2023
ABU Asia-Pacific Robot Contest — Third PlaceAug 2023
ABU Asia-Pacific Robot Contest — Best Design AwardAug 2023