4 papers · 1 filter
HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum
Chenxin Liu, Qingzhou Lu, Guangxiao Yang +4
General motion tracking and teleoperation offer a promising path to scalable humanoid skill acquisition, yet most existing frameworks are validated on compact platforms or without…
HALOMI: Learning Humanoid Loco-Manipulation with Active Perception from Human Demonstrations
Zehui Zhao, Yuxuan Zhao, Gaojing Zhang +3
Human demonstrations, which can be collected at scale and naturally capture active hand-eye coordination, are a promising data source for learning humanoid loco-manipulation. Howev…
Continual Hand-Eye Calibration for Open-world Robotic Manipulation
Fazeng Li, Gan Sun, Chenxi Liu +3
Hand-eye calibration through visual localization is a critical capability for robotic manipulation in open-world environments. However, most deep learning-based calibration models…
Fed3D: Federated 3D Object Detection
Suyan Dai, Chenxi Liu, Fazeng Li +1
3D object detection models trained in one server plays an important role in autonomous driving, robotics manipulation, and augmented reality scenarios. However, most existing metho…