research
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07/06/2023
Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance
There are two major challenges for scaling up robot navigation around dy...
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01/20/2023
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality
Conflict-Based Search is one of the most popular methods for multi-agent...
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10/17/2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation
Deep reinforcement learning in continuous domains focuses on learning co...
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10/17/2022
Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks
Sampling-based motion planning is a popular approach in robotics for fin...
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10/16/2022