57 citations · 70 across the 8 of their papers we have counts for
8 papers
A Novel ViDAR Device With Visual Inertial Encoder Odometry and Reinforcement Learning-Based Active SLAM Method
Zhanhua Xin, Zhihao Wang, Shenghao Zhang +7
In the field of multi-sensor fusion for simultaneous localization and mapping (SLAM), monocular cameras and IMUs are widely used to build simple and effective visual-inertial syste…
Whole-Body Impedance Coordinative Control of Wheel-Legged Robot on Uncertain Terrain
Lei Shi, Xinghua Yu, Cheng Zhou +6
This article propose a whole-body impedance coordinative control framework for a wheel-legged humanoid robot to achieve adaptability on complex terrains while maintaining robot upp…
Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning
Haojie Shi, Qingxu Zhu, Lei Han +3
In nature, legged animals have developed the ability to adapt to challenging terrains through perception, allowing them to plan safe body and foot trajectories in advance, which le…
Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals
Tingguang Li, Yizheng Zhang, Chong Zhang +5
In this paper, we present a general learning framework for controlling a quadruped robot that can mimic the behavior of real animals and traverse challenging terrains. Our method c…
Lifelike Agility and Play in Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
Lei Han, Qingxu Zhu, Jiapeng Sheng +16
Knowledge from animals and humans inspires robotic innovations. Numerous efforts have been made to achieve agile locomotion in quadrupedal robots through classical controllers or r…
Domain Adaptation Gaze Estimation by Embedding with Prediction Consistency
Zidong Guo, Zejian Yuan, Chong Zhang +3
Gaze is the essential manifestation of human attention. In recent years, a series of work has achieved high accuracy in gaze estimation. However, the inter-personal difference limi…
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
Ziyang Song, Zejian Yuan, Chong Zhang +3
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff. In this paper, we specify a ne…
Attention-Oriented Action Recognition for Real-Time Human-Robot Interaction
Ziyang Song, Ziyi Yin, Zejian Yuan +4
Despite the notable progress made in action recognition tasks, not much work has been done in action recognition specifically for human-robot interaction. In this paper, we deeply…