Scholar
Peide Huang
Google Scholar ID: g5U-sjoAAAAJ
Research Scientist, Apple
Citations & Impact
Citations
404
H-index
11
i10-index
13
Publications
18
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video (Best Paper Award at RSS2025 EgoAct Workshop)
- EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning (2025 IEEE Robotics and Automation Letters, RA-L)
- CaDRE: Controllable and Diverse Generation of Safety-Critical Driving Scenarios using Real-World Trajectories (2025 IEEE International Conference on Robotics and Automation, ICRA 2025)
- Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications (2024 IEEE Robotics and Automation Letters, RA-L)
- Gradient Shaping for Multi-Constraint Safe Reinforcement Learning (6th Annual Learning for Dynamics & Control Conference, L4DC 2024)
- Creative Robot Tool Use with Large Language Models (Preprint)
- What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery (7th Annual Conference on Robot Learning, CoRL 2023)
- Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables (The 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023)
- Continual Vision-based Reinforcement Learning with Group Symmetries (7th Annual Conference on Robot Learning, CoRL 2023, Oral, 6.6%)
- Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation (The 36th Conference on Neural Information Processing Systems, NeurIPS 2022)
- Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training (The 31st International Joint Conference on Artificial Intelligence, IJCAI 2022)
- Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022)
Research Experience
- 09/2025: Joined Google DeepMind!
- 09/2024: Joined Apple AIML!
- 09/2024: Defended thesis titled 'Co-evolving Environments and Agents for Physical-World Deployments'!
- 11/2023: RoboTool covered by TechXplore as a featured story!
- 08/2023: Two papers (one Oral) accepted by CoRL 2023!
Background
- A researcher at Google DeepMind, working on robot foundation models. Previously worked at Apple. Obtained B.E. from Nanyang Technological University, M.S. from Stanford, and Ph.D. from Carnegie Mellon University.
