7 papers
PhysBrain 1.5: From Vision-Language Models to Physical Foundation Models
DeepCybo Team, Yu Bin, Haipeng Cao +51
We present PhysBrain 1.5, a unified model for understanding physical environments, generating actions, and predicting future states. Motivated by the physical loop of observation,…
Closing the Loop in Humanoid VLA: Persistent 3D Object Tokens for Verifiable Loco-Manipulation
Peng Ren, Haoyang Ge, Jiang Zhao +4
Vision-language-action policies are a promising foundation for general robot control, but long-horizon humanoid loco-manipulation requires the robot to treat task objects as persis…
EgoPriMo: Egocentric Motion Generation for Interactive Humanoid Control
Haoyang Ge, Peng Ren, Yukun Shi +3
Humanoid robots require whole-body motions that adapt to scene context, task requirements, and user intent. Motion tracking reproduces specified trajectories, and humanoid vision-l…
IMPose: Closed-Loop Correction Propagation for Interactive Multi-Person Pose Annotation
Haoyang Ge, Jian Ma, Ziwen Wang +5
High-quality dynamic human pose annotations provide important supervision for learning fine-grained human motion, yet dense multi-person video annotation remains labor-intensive. S…
CyboRacket: A Perception-to-Action Framework for Humanoid Racket Sports
Peng Ren, Chuan Qi, Haoyang Ge +6
Dynamic ball-interaction tasks remain challenging for robots because they require tight perception-action coupling under limited reaction time. This challenge is especially pronoun…
Cybo-Waiter: A Physical Agentic Framework for Humanoid Whole-Body Locomotion-Manipulation
Peng Ren, Haoyang Ge, Chuan Qi +5
Robots are increasingly expected to execute open ended natural language requests in human environments, which demands reliable long horizon execution under partial observability. T…
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge, Qiao Feng, Hailong Jia +5
Human pose and shape (HPS) estimation with lensless imaging is not only beneficial to privacy protection but also can be used in covert surveillance scenarios due to the small size…