Jixin (Kevin) Yan

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I am an undergraduate at Northwestern University, majoring in Computer Science at the McCormick School of Engineering. My research interests are embodied agents, foundation models for robotics, and human data for robotics.

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Research Interests
  • Embodied Agents: Building general-purpose agentic systems that interact with the physical world, perform dexterous manipulation, and excel at long-horizon tasks.
  • Foundation Models for Robotics: Advancing vision-language-action models, world-action models, and tactile foundation models for general-purpose robotics.
  • Human Data for Robotics: Scaling robotic foundation models with egocentric video and other human-generated data.
News
Experience
B.S. in Computer Science, McCormick School of Engineering
Sep 2025 – Jun 2029
Research Assistant
Advisor: Prof. Qi Zhu
Jan 2026 – Jun 2026
Jan 2026 – Jun 2026
Jun 2026 – Sep 2026
Publications
ManiGuard — preview pending ManiGuard: A Specification-Grounded Safety Benchmark for Foundation-Model Manipulation
Yiyan Peng, Philip Wang, Simon Sinong Zhan, Yiqi Lyu,Zhenyang Ni, Jixin Yan, Fiorelli Wong, Xinyu Cao, Hang Yin, Haoran Lu, Xiangyu Shi, Ruochen Jiao, Han Liu, Huajie Shao, Manling Li, Ruohan Zhang, Qi Zhu
In Submission

ManiGuard is a safety benchmark for foundation-model robot manipulation, evaluating policies on contact-rich household tasks under formal specifications across simulators and a real Franka arm.

Generative Bayesian Filtering for manufacturing state estimation Generative Bayesian Filtering for Manufacturing State Estimation
Lei Cao, Sihang Feng, Jixin Yan, Tao Sun, Naichen Shi
International Symposium on Flexible Automation (ISFA), 2026 Under Review

An online generative Bayesian filtering algorithm for manufacturing state estimation that uses conditional VAEs as learned likelihoods, demonstrated on laser powder-bed fusion defect monitoring.

Projects
Embodied Harness planner coordinating navigation, manipulation, and verification agents Embodied Harness
Jixin Yan
Litchi AI @ Tsinghua Spatial Intelligence Lab Jun 2026 – Present

A two-tier embodied-agent framework in which a VLM planner orchestrates fresh-context navigation, manipulation, and verification agents across swappable simulator, policy, model, and tool backends. Verification-gated recovery and a resumable evaluation pipeline backed by 402 tests improve success over flat-policy baselines by 10% on VLN-CE navigation and 33% on BEHAVIOR-1K long-horizon mobile manipulation.

OpenSO-101: Open-Source Robot Learning Framework
Jixin Yan
Personal Project Apr 2026 – Jun 2026

An open-source NVIDIA Isaac Lab framework for the LeRobot SO-101 arm that unifies PPO with distillation, ACT, and Diffusion Policy training. A shared joint-position action space and real-arm deployment bridge allow one checkpoint to run in simulation and on a Feetech follower without sim-to-real action conversion.

SpiderPi Hexapod Robot
Jixin Yan
Introduction to Robotics Lab, Northwestern University Jan 2025 – Mar 2025

A 6-DOF hexapod with tripod and wave gaits driven by inverse kinematics and IMU-based PD feedback, paired with A* planning and a subsumption-based controller for real-time obstacle avoidance. A frontier-based exploration pipeline incrementally builds the occupancy map and prioritizes frontiers by information gain for autonomous coverage.

Selected Honors
2026Northwestern Academic Year Research Grant
2026Northwestern Summer Undergraduate Research Grant
Technical Skills

Programming Languages: Python, C/C++, MATLAB, SQL, JavaScript/TypeScript, R

AI & Robotics: PyTorch, TensorFlow, vLLM, LangChain, Gymnasium, ROS2, LeRobot, Stable-Baselines3

Simulation Environments: NVIDIA Isaac Sim, OmniGibson, MuJoCo, Gazebo, AI2-THOR

Tools: Linux, Git, Docker, CUDA, Hugging Face, AWS


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