Tag: robot navigation
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Refining Hybrid Robotic Plans for Dynamic Feasibility
Learn how reinforcement learning refines hybrid robotic plans to ensure physically feasible trajectories under real-world constraints.
Situationally-Aware Dynamics Learning for Autonomous Robots
Discover how situationally-aware dynamics learning enables autonomous robots to adapt in real-time to complex, unstructured environments for safer, smarter...
SpatialAnt: Zero-Shot Autonomous Robot Navigation Tech
Discover SpatialAnt, a zero-shot robot navigation system using active scene reconstruction and visual anticipation for real-world autonomous tasks.
Energy-Efficient Control for Hybrid Robots on Stairs
Discover how reinforcement learning enables hybrid robots to navigate stairs with 38% less energy, improving efficiency in complex terrains.
Learning-Guided Planning for Multi-Agent Warehouse Pathfinding
Discover how learning-guided prioritized planning improves lifelong multi-agent path finding for efficient warehouse automation and higher throughput.