Hierarchical Collision Avoidance for Adaptive-Speed Multirotor Teleoperation
Kshitij Goel, Yves Georgy Daoud, Nathan Michael, Wennie Tabib

TL;DR
This paper presents a hierarchical collision avoidance system for multirotor teleoperation that adaptively modulates vehicle speed based on environment complexity, improving safety and efficiency without burdening the operator.
Contribution
It introduces a high-rate teleoperation method that dynamically adjusts maximum speed and map resolution through hierarchical collision checking, addressing limitations of fixed-speed approaches.
Findings
Enhanced safety in cluttered environments
Reduced task completion time
No need for operator to set maximum speed
Abstract
This paper improves safe motion primitives-based teleoperation of a multirotor by developing a hierarchical collision avoidance method that modulates maximum speed based on environment complexity and perceptual constraints. Safe speed modulation is challenging in environments that exhibit varying clutter. Existing methods fix maximum speed and map resolution, which prevents vehicles from accessing tight spaces and places the cognitive load for changing speed on the operator. We address these gaps by proposing a high-rate (10 Hz) teleoperation approach that modulates the maximum vehicle speed through hierarchical collision checking. The hierarchical collision checker simultaneously adapts the local map's voxel size and maximum vehicle speed to ensure motion planning safety. The proposed methodology is evaluated in simulation and real-world experiments and compared to a non-adaptive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTeleoperation and Haptic Systems · Robotics and Automated Systems · Virtual Reality Applications and Impacts
