Nicholas Roy
Professor
Builds autonomous robots whose planning algorithms couple perception and decision making, so they act robustly under uncertainty and learn about the world.
Nicholas Roy's lab at MIT works on planning, control & multi-robot systems, robot perception & SLAM and embodied & active vision. 17 papers since 2023, 8 at top venues, mostly ICRA and RA-L. 69 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 47%
- PhD students
- 0
- MS students
- 0
- alumni listed
- 69
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 1 · collecting
- 4 papers2025 · T1 1
- 8 papers2024 · T1 5
- 3 papers2023 · T1 1
T1 venuesOtherVenues: ICRA, RA-L, EMNLP, ICAPS, RSS
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems8 papers
- Robot perception & SLAM1 paper
- Embodied & active vision0 papers
- autonomous robots0 papers
- act0 papers
Paper list
From the lab homepage.
20262 papers
- ICRA (T1)Structured Interfaces for Automated Reasoning with 3D Scene Graphs
- WAFRToward Learning POMDPs Beyond Full-Rank Actions and State Observability (opens in a new tab)
20254 papers
- ICRA (T1)Belief Roadmaps with Uncertain Landmark Evanescence
- RA-LFar-Field Image-Based Traversability Mapping for a Priori Unknown Natural Environments
- RA-LFORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation Under Uncertainty
- International Symposium on Experimental RoboticsHierarchical Uncertainty-Aware Multi-agent Collaborative Planning System (opens in a new tab)
20248 papers
- ICRA (T1)Amortized Inference for Efficient Grasp Model Adaptation (opens in a new tab)
- ICRA (T1)AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
- ICRA (T1)Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments (opens in a new tab)
- EMNLP (T1)PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling
- ICRA WorkshopReal-world Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System (opens in a new tab)
- ICRA (T1)Scalable Multi-robot Collaboration with Large Language Models: Centralized or Decentralized Systems?
- International Symposium of Robotics Research (ISRRTask and Motion Planning in Hierarchical 3D Scene Graphs
- WAFRTowards Practical Finite Sample Bounds for Motion Planning in TAMP (opens in a new tab)
20233 papers
- RSS (T1)A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty (opens in a new tab)
- ICAPSApproximating the Value of Collaborative Team Actions for Efficient Multiagent Navigation in Uncertain Graphs (opens in a new tab)
- International Symposium on Experimental Robotics (ISERLearning Feasibility and Cost to Guide TAMP (opens in a new tab)
Where alumni went69 listed
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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- The lab homepage
- Members
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