7 citations · 8 across the 4 of their papers we have counts for
5 papers
Load-bearing Assessment for Safe Locomotion of Quadruped Robots on Collapsing Terrain
Vivian S. Medeiros, Giovanni B. Dessy, Thiago Boaventura +3
Collapsing terrains, often present in search and rescue missions or planetary exploration, pose significant challenges for quadruped robots. This paper introduces a robust locomoti…
Floating-Base Deep Lagrangian Networks
Lucas Schulze, Juliano Decico Negri, Victor Barasuol +4
Grey-box methods for system identification combine deep learning with physics-informed constraints, capturing complex dependencies while improving out-of-distribution generalizatio…
Learning to Walk With Less: A Dyna-Style Approach to Quadrupedal Locomotion
Francisco Affonso, Felipe Tommaselli, João H. Aléssio +4
Traditional on-policy reinforcement learning (RL) controllers for quadrupedal locomotion often suffer from low data efficiency, requiring millions of interactions with simulated en…
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…
PACC: A Passive-Arm Approach for High-Payload Collaborative Carrying with Quadruped Robots Using Model Predictive Control
Giulio Turrisi, Lucas Schulze, Vivian S. Medeiros +2
In this paper, we introduce the concept of using passive arm structures with intrinsic impedance for robot-robot and human-robot collaborative carrying with quadruped robots. The c…