Nancy M. Amato
Abel Bliss Professor of Engineering and School Director
Studies robot motion planning, including sampling-based planners and multi-robot systems, along with parallel algorithms.
Nancy M. Amato's lab at UIUC works on planning, control & multi-robot systems and data management & big data. 23 papers since 2023, 6 at top venues, mostly RA-L and T-RO. 17 PhD students and 8 master's students. 248 alumni. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 26%
- PhD students
- 17
- MS students
- 8
- alumni listed
- 248
Papers by yearfrom the lab homepage, 2023–2026
- 6 papers2026 · T1 2 · collecting
- 9 papers2025 · T1 1
- 6 papers2024 · T1 2
- 2 papers2023 · T1 1
T1 venuesOtherVenues: RA-L, T-RO, ICRA, IROS
Research focuspaper titles that use each topic's words
- Planning, control & multi-robot systems15 papers
- multi-robot7 papers
- robot motion5 papers
- Data management & big data1 paper
- multi-robot systems0 papers
Paper list
From the lab homepage.
20266 papers
- T-RO (T1)Edge Nearest Neighbor: Neighbor-Finding Revisited in Sampling-Based Motion Planning
- WAFRFrom Legible to Inscrutable Trajectories: (Il)legible Motion Planning Accounting for Multiple Observers
- T-RO (T1)Lazy-DaSH: A Lazy Approach for Hypergraph-Based Multirobot Task and Motion Planning
- RA-LP-ARC: Exploiting Subproblem Independence for Parallel Multi-Robot Motion Planning
- RA-LScalable Multi-Robot Motion Planning Using Workspace Guidance-Informed Hypergraphs
- WAFRScalable Multi-robot Motion Planning via Hierarchical Subproblem Expansion and Workspace Decomposition Refinement
20259 papers
- Other“Data will solve robotics and automation: True or false?”: A debate
- T-RO (T1)An Analysis of Constraint-Based Multiagent Pathfinding Algorithms
- WorkshopExtended Reality System for Robotic Learning from Human Demonstration
- LCPCGenerating Memory Allocators from the Ground Up
- RA-LHAS-RRT: RRT-Based Motion Planning Using Topological Guidance
- RA-LK-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning
- OtherLearning to Harness In-Vitro Biological Neural Networks
- OtherPosition: It Is Time We Test Neural Computation In Vitro
- WAFRSPITE: Simple Polyhedral Intersection Techniques for Motion Planning in Modified Environments
20246 papers
- IROS (T1)A Hierarchical Approach to Workstation-based Task Allocation and Motion Planning
- WorkshopA primer on in vitro biological neural networks
- RA-LAdaptive Robot Coordination: A Subproblem-Based Approach for Hybrid Multi-Robot Motion Planning
- IPDPSAutomatic Task Parallelization of Dataflow Graphs in ML/DL Models
- ICRA (T1)Distributed Constraint-Based Search using Multi-Hop Communication
- OtherExperience-based multi-agent path finding with narrow corridors
20232 papers
- T-RO (T1)Hypergraph-Based Multi-robot Task and Motion Planning
- RA-LScalable Multi-Robot Motion Planning for Congested Environments With Topological Guidance
Where alumni went248 listed, 0% to industry
Industry 0Academia 8
Also to
- Stanford University
- Albany.University at Albany SUNY
- Arlington.University of Texas at Arlington
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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- The lab homepage
- Members
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