Abstract: Single-domain generalized object detection aims to enhance a model’s generalization to multiple unseen target domains using only data from a single source domain during training. This is a ...
Abstract: This paper presents a predictive control approach for nonholonomic mobile manipulators that simultaneously ensures precise end-effector trajectory tracking and proactive obstacle avoidance.
In this paper, we propose NeRD (Neural Robot Dynamics), learned robot-specific dynamics models for predicting future states for articulated rigid bodies under contact constraints. NeRD uniquely ...
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