TRACE replaces greedy next-best-view selection in Gaussian-splatting active reconstruction with ergodic trajectory optimization, improving reconstruction PSNR by 1.5 dB on Replica.
Tactile Ergodic Coverage on Curved Surfaces
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abstract
In this article, we present a feedback control method for tactile coverage tasks, such as cleaning or surface inspection. These tasks are challenging to plan due to complex continuous physical interactions. In these tasks, the coverage target and progress can be easily measured using a camera and encoded in a point cloud. We propose an ergodic coverage method that operates directly on point clouds, guiding the robot to spend more time on regions requiring more coverage. For robot control and contact behavior, we use geometric algebra to formulate a task-space impedance controller that tracks a line while simultaneously exerting a desired force along that line. We evaluate the performance of our method in kinematic simulations and demonstrate its applicability in real-world experiments on kitchenware. Our source codes, experimental data, and videos are available as open access at https://sites.google.com/view/tactile-ergodic-control/
fields
cs.RO 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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TRACE: Ergodic Trajectory Optimization for Active Scene Reconstruction
TRACE replaces greedy next-best-view selection in Gaussian-splatting active reconstruction with ergodic trajectory optimization, improving reconstruction PSNR by 1.5 dB on Replica.