142 citations · 814 across the 36 of their papers we have counts for
43 papers
Towards Terrain-Aware Safe Locomotion for Quadrupedal Robots Using Proprioceptive Sensing
Peiyu Yang, Jiatao Ding, Wei Pan +2
Achieving safe quadrupedal locomotion in real-world environments has attracted much attention in recent years. When walking over uneven terrain, achieving reliable estimation and r…
Morphologically Symmetric Reinforcement Learning for Ambidextrous Bimanual Manipulation
Zechu Li, Yufeng Jin, Daniel Ordonez Apraez +3
Humans naturally exhibit bilateral symmetry in their gross manipulation skills, effortlessly mirroring simple actions between left and right hands. Bimanual robots-which also featu…
Panoptic-SLAM: Visual SLAM in Dynamic Environments using Panoptic Segmentation
Gabriel Fischer Abati, João Carlos Virgolino Soares, Vivian Suzano Medeiros +2
The majority of visual SLAM systems are not robust in dynamic scenarios. The ones that deal with dynamic objects in the scenes usually rely on deep-learning-based methods to detect…
Fast Convex Visual Foothold Adaptation for Quadrupedal Locomotion
Shafeef Omar, Lorenzo Amatucci, Giulio Turrisi +2
This extended abstract provides a short introduction on our recently developed perception-based controller for quadrupedal locomotion. Compared to our previous approach based on Vi…
Kinematically-Decoupled Impedance Control for Fast Object Visual Servoing and Grasping on Quadruped Manipulators
Riccardo Parosi, Mattia Risiglione, Darwin G. Caldwell +2
We propose a control pipeline for SAG (Searching, Approaching, and Grasping) of objects, based on a decoupled arm kinematic chain and impedance control, which integrates image-base…
SafeSteps: Learning Safer Footstep Planning Policies for Legged Robots via Model-Based Priors
Shafeef Omar, Lorenzo Amatucci, Victor Barasuol +2
We present a footstep planning policy for quadrupedal locomotion that is able to directly take into consideration a-priori safety information in its decisions. At its core, a learn…