2 citations · 6 across the 6 of their papers we have counts for
6 papers
A Framework for Deploying Learning-based Quadruped Loco-Manipulation
Yadong Liu, Jianwei Liu, He Liang +1
Quadruped mobile manipulators offer strong potential for agile loco-manipulation but remain difficult to control and transfer reliably from simulation to reality. Reinforcement lea…
Unreal Robotics Lab: A High-Fidelity Robotics Simulator with Advanced Physics and Rendering
Jonathan Embley-Riches, Jianwei Liu, Simon Julier +1
High-fidelity simulation is essential for robotics research, enabling safe and efficient testing of perception, control, and navigation algorithms. However, achieving both photorea…
Exploring Adversarial Obstacle Attacks in Search-based Path Planning for Autonomous Mobile Robots
Adrian Szvoren, Jianwei Liu, Dimitrios Kanoulas +1
Path planning algorithms, such as the search-based A*, are a critical component of autonomous mobile robotics, enabling robots to navigate from a starting point to a destination ef…
DiPPeST: Diffusion-based Path Planner for Synthesizing Trajectories Applied on Quadruped Robots
Maria Stamatopoulou, Jianwei Liu, Dimitrios Kanoulas
We present DiPPeST, a novel image and goal conditioned diffusion-based trajectory generator for quadrupedal robot path planning. DiPPeST is a zero-shot adaptation of our previously…
ViT-A*: Legged Robot Path Planning using Vision Transformer A*
Jianwei Liu, Shirui Lyu, Denis Hadjivelichkov +2
Legged robots, particularly quadrupeds, offer promising navigation capabilities, especially in scenarios requiring traversal over diverse terrains and obstacle avoidance. This pape…
DiPPeR: Diffusion-based 2D Path Planner applied on Legged Robots
Jianwei Liu, Maria Stamatopoulou, Dimitrios Kanoulas
In this work, we present DiPPeR, a novel and fast 2D path planning framework for quadrupedal locomotion, leveraging diffusion-driven techniques. Our contributions include a scalabl…