6 accepted papers
Enabling robots to interact effectively with the real world requires extensive learning from physical interaction data, making simulation crucial for generating such data safely and cost-effectively. Despite the advantages of simulation, manual environment creation remains a laborious process, motiv…
Hand-eye calibration is a fundamental task in robotics, requiring high precision to ensure accurate manipulation. This is especially crucial for recent markerless methods, which depend on precise pose estimation for effective end-effector calibration. In this paper, we propose a novel approach that …
Policies learned via continuous actor-critic methods often exhibit erratic, high-frequency oscillations, making them unsuitable for physical deployment. Current approaches attempt to enforce smoothness by directly regularizing the policy's output. We argue that this approach treats the symptom rathe…
Monocular camera-LiDAR data fusion has demonstrated remarkable environmental perception capabilities in various fields. The success of data fusion relies on the accurate matching of correspondence features from images and point clouds. In this letter, we propose a target-based Camera-LiDAR extrinsic
Hand-eye calibration is a fundamental task in robotics, requiring high precision to ensure accurate manipulation. This is especially crucial for recent markerless methods, which depend on precise pose estimation for effective end-effector calibration. In this paper, we propose a novel approach that
The 360<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula> camera is a compact omnidirectional perception system for capturing panoramic images with the same field of view as LiDA