Zixing Lei
Zixing Lei is a researcher at Shanghai Jiao Tong University (SJTU) and affiliated with the Zhongguancun Academy, whose work focuses on agentic systems and vision-language-action (VLA) model post-training for embodied robotics. Lei is the lead author of the 2026 paper "Towards Long-horizon Embodied Agents with Tool-Aligned Vision-Language-Action Models" (arXiv:2605.13119), which introduces TAPT (Tool-Aligned Post-Training), a framework that trains specialized VLA tools for bounded subtasks and coordinates them through a high-level vision-language model agent to tackle long-horizon robotic manipulation. The work demonstrates marked improvements on benchmarks including LIBERO-Long and RoboTwin by decoupling high-level temporal planning from local physical execution across a family of tool-specialized VLA models.
“TAPT constructs subtask-centric data by pairing bounded subtasks with precise language instructions, so that each VLA tool learns a clear correspondence between the agent's invocation and the intended physical behavior”
Source→“Zixing Lei, Shanghai Jiao Tong University (SJTU), lead author and co-equal contributor. Focused on the intersection of agentic systems and VLA post-training.”
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