Search Results for author: Kai Yuan

Found 9 papers, 1 papers with code

Fully-fused Multi-Layer Perceptrons on Intel Data Center GPUs

1 code implementation26 Mar 2024 Kai Yuan, Christoph Bauinger, Xiangyi Zhang, Pascal Baehr, Matthias Kirchhart, Darius Dabert, Adrien Tousnakhoff, Pierre Boudier, Michael Paulitsch

We compare our approach to a similar CUDA implementation for MLPs and show that our implementation on the Intel Data Center GPU outperforms the CUDA implementation on Nvidia's H100 GPU by a factor up to 2. 84 in inference and 1. 75 in training.

Image Compression Physics-informed machine learning

Hierarchical generative modelling for autonomous robots

no code implementations15 Aug 2023 Kai Yuan, Noor Sajid, Karl Friston, Zhibin Li

We approach this problem by hierarchical generative modelling equipped with multi-level planning-for autonomous task completion-that mimics the deep temporal architecture of human motor control.

Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations

no code implementations28 Sep 2021 Fernando Acero, Kai Yuan, Zhibin Li

To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable.

Navigate

Deep Pairwise Learning To Rank For Search Autocomplete

no code implementations11 Aug 2021 Kai Yuan, Da Kuang

Autocomplete (a. k. a "Query Auto-Completion", "AC") suggests full queries based on a prefix typed by customer.

Learning-To-Rank

Multi-expert learning of adaptive legged locomotion

no code implementations10 Dec 2020 Chuanyu Yang, Kai Yuan, Qiuguo Zhu, Wanming Yu, Zhibin Li

Achieving versatile robot locomotion requires motor skills which can adapt to previously unseen situations.

Learning Pregrasp Manipulation of Objects from Ungraspable Poses

no code implementations15 Feb 2020 Zhaole Sun, Kai Yuan, Wenbin Hu, Chuanyu Yang, Zhibin Li

In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped from the side.

Robotics

Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills

no code implementations11 Feb 2020 Wenbin Hu, Chuanyu Yang, Kai Yuan, Zhibin Li

The performance of learned policy is evaluated on three different tasks: grasping a static target, grasping a dynamic target, and re-grasping.

Robotics

Learning Whole-body Motor Skills for Humanoids

no code implementations7 Feb 2020 Chuanyu Yang, Kai Yuan, Wolfgang Merkt, Taku Komura, Sethu Vijayakumar, Zhibin Li

This paper presents a hierarchical framework for Deep Reinforcement Learning that acquires motor skills for a variety of push recovery and balancing behaviors, i. e., ankle, hip, foot tilting, and stepping strategies.

Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction

no code implementations5 Feb 2020 Ruoshi Wen, Kai Yuan, Qiang Wang, Shuai Heng, Zhibin Li

Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects.

Robotics

Cannot find the paper you are looking for? You can Submit a new open access paper.