Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Nancy M. Amato

University of Illinois at Urbana-Champaign

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States Professors in Artificial Intelligence Artificial Intelligence professors in United States

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Year:

2020

Collaborators (8)

Sariel Har-Peled

Professor

University of Illinois System

UNITED STATES

View details

Aude Billard

Full Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

View details

Frank C. Park

Seoul National University

SOUTH KOREA

View details

Timothy Bretl

University of Illinois at Urbana-Champaign

UNITED STATES

View details

Jory Denny

Assistant Professor of Computer Science

University of Richmond

UNITED STATES

View details

Tan Chen

Assistant Professor

Michigan Technological University

UNITED STATES

View details

Marco Morales

University of Illinois at Urbana-Champaign

UNITED STATES

View details

Ken Goldberg

University of California, Berkeley

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Nancy M. Amato

Research Interests

Make your next move.

Explore related searches

Articles (20)

Edge Nearest Neighbor: Neighbor-Finding Revisited in Sampling-Based Motion Planning

P-ARC: Exploiting Subproblem Independence for Parallel Multi-Robot Motion Planning

Scalable Multi-Robot Motion Planning Using Workspace Guidance-Informed Hypergraphs

An Analysis of Constraint-Based Multiagent Pathfinding Algorithms

Lazy-DaSH: A Lazy Approach for Hypergraph-Based Multirobot Task and Motion Planning

In Memoriam: Jaeheung Park (1973–2026) [Society News]

A Hearty Thanks to My Predecessors and a Request for Your Ideas [President’s Message]

“Data Will Solve Robotics and Automation: True or False?”: A Debate

K-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning

HAS-RRT: RRT-Based Motion Planning Using Topological Guidance

Adaptive Robot Coordination: A Subproblem-Based Approach for Hybrid Multi-Robot Motion Planning

Scalable Multi-Robot Motion Planning for Congested Environments With Topological Guidance

Scalable Multi-Robot Motion Planning for Congested Environments With Topological Guidance

Hypergraph-Based Multi-robot Task and Motion Planning

Hierarchical Planning With Annotated Skeleton Guidance

Parallel Hierarchical Composition Conflict-Based Search for Optimal Multi-Agent Pathfinding

Representation-Optimal Multi-Robot Motion Planning Using Conflict-Based Search

Asymptotically-Optimal Topological Nearest-Neighbor Filtering

Topology-Guided Roadmap Construction With Dynamic Region Sampling

Multi-Robot Task and Motion Planning With Subtask Dependencies

Collaborators (8)

Sariel Har-Peled

Aude Billard

Frank C. Park

Timothy Bretl

Jory Denny

Tan Chen

Marco Morales

Ken Goldberg

Make your next move.