Publications (11)
Learning Quadruped Locomotion using Bio-Inspired Neural Networks with Intrinsic Rhythmicity
Chuanyu Yang, Can Pu, Tianqi Wei +2
Biological studies reveal that neural circuits located at the spinal cord called central pattern generator (CPG) oscillates and generates rhythmic signals, which are the underlying…
A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot
Can Pu, Chuanyu Yang, Jinnian Pu +2
Recovering an outdoor environment's surface mesh is vital for an agricultural robot during task planning and remote visualization. Our proposed solution is based on a newly-designe…
Robust Rigid Point Registration based on Convolution of Adaptive Gaussian Mixture Models
Can Pu, Nanbo Li, Robert B Fisher
Matching 3D rigid point clouds in complex environments robustly and accurately is still a core technique used in many applications. This paper proposes a new architecture combining…
Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks
Can Pu, Runzi Song, Radim Tylecek +2
Refining raw disparity maps from different algorithms to exploit their complementary advantages is still challenging. Uncertainty estimation and complex disparity relationships amo…
A General Mobile Manipulator Automation Framework for Flexible Manufacturing in Hostile Industrial Environments
Can Pu, Chuanyu Yang, Jinnian Pu +1
To enable a mobile manipulator to perform human tasks from a single teaching demonstration is vital to flexible manufacturing. We call our proposed method MMPA (Mobile Manipulator…
Incremental Non-Gaussian Inference for SLAM Using Normalizing Flows
Qiangqiang Huang, Can Pu, Kasra Khosoussi +4
This paper presents normalizing flows for incremental smoothing and mapping (NF-iSAM), a novel algorithm for inferring the full posterior distribution in SLAM problems with nonline…