Panpan Cai
副教授
Works on embodied intelligence, robot decision making and learning, and planning for autonomous driving.
Panpan Cai's lab at SJTU works on autonomous vehicles & drones, planning, control & multi-robot systems and embodied & active vision. 12 papers since 2023, 11 at top venues, mostly NeurIPS and RSS. 13 PhD students. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 92%
- PhD students
- 13
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 5 · collecting
- 5 papers2025 · T1 4
- 0 papers2024 · T1 0
- 2 papers2023 · T1 2
T1 venuesOtherVenues: NeurIPS, RSS, ACL, RA-L, T-RO
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems8 papers
- Autonomous vehicles & drones4 papers
- Embodied & active vision2 papers
- intelligence0 papers
- embodied intelligence0 papers
Paper list
From the lab homepage.
20265 papers
- NeurIPS (T1)I-Perceive: A Foundation Model for Vision-Language Active Perception
- RSS (T1)Mimic Intent, Not Just Trajectories
- NeurIPS (T1)PO-PDDL: Learning Symbolic POMDPs from Visual Demonstrations for Robot Planning Under Uncertainty
- NeurIPS (T1)TGPO: Trace-Guided Policy Optimization for Robot Task Planning via Verifiable Subgoal Generation
- RSS (T1)Vec-QMDP: Vectorized POMDP Planning on CPUs for Real-Time Autonomous Driving
20255 papers
- NeurIPS (T1)ForceVLA: Enhancing VLA Models with a Force-aware MoE for Contact-rich Manipulation
- RA-LHi-Drive: Hierarchical POMDP Planning for Safe Autonomous Driving in Diverse Urban Environments
- NeurIPS (T1)Tru-POMDP: Task Planning Under Uncertainty via Tree of Hypotheses and Open-Ended POMDPs
- NeurIPS (T1)UniDomain: Pretraining a Unified PDDL Domain from Real-World Demonstrations for Generalizable Robot Task Planning
- ACL (T1)World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning
20232 papers
- T-RO (T1)Closing the Planning-Learning Loop with Application to Autonomous Driving
- NeurIPS (T1)What Truly Matters in Trajectory Prediction for Autonomous Driving?
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.
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