T Huang, H Zhang, Y Zeng, Z Zhang, H Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Dynamic 3D interaction has been attracting a lot of attention recently. However, creating such 4D content remains challenging. One solution is to animate 3D scenes with physics …
The ability for robots to perform efficient and zero-shot grasping of object parts is crucial for practical applications and is becoming prevalent with recent advances in Vision-Language …
Real2Sim2Real plays a critical role in robotic arm control and reinforcement learning, yet bridging this gap remains a significant challenge due to the complex physical properties of …
This paper proposes SAD-GS a depth-supervised Gaussian Splatting (GS) method that provides accurate 3D geometry reconstruction by introducing a shape-aligned depth …
Y Zheng, L Yao, Y Su, Y Zhang, Y Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots …
Neural Fields have emerged as a transformative approach for 3D scene representation in computer vision and robotics, enabling accurate inference of geometry, 3D semantics, and …
D Qiu, W Ma, Z Pan, H Xiong, J Liang - arXiv preprint arXiv:2406.18115, 2024 - arxiv.org
Open-Vocabulary Mobile Manipulation (OVMM) is a crucial capability for autonomous robots, especially when faced with the challenges posed by unknown and dynamic …
We propose a framework for active next best view and touch selection for robotic manipulators using 3D Gaussian Splatting (3DGS). 3DGS is emerging as a useful explicit …
Y Wu, L Pan, W Wu, G Wang, Y Miao… - arXiv preprint arXiv …, 2024 - arxiv.org
Sim-to-Real refers to the process of transferring policies learned in simulation to the real world, which is crucial for achieving practical robotics applications. However, recent …