8 citations · 8 across the 17 of their papers we have counts for
4 papers · 1 filter
Algorithmic design and implementation considerations of deep MPC
Prabhat K. Mishra, Mateus V. Gasparino, Girish Chowdhary
Deep Model Predictive Control (Deep MPC) is an evolving field that integrates model predictive control and deep learning. This manuscript is focused on a particular approach, which…
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…
ZeST: A VLM-based Zero-Shot Traversability Navigation for Unknown Environments
Shreya Gummadi, Mateus V. Gasparino, Gianluca Capezzuto +2
Advances in robotics and autonomous navigation systems hinge on the ability to predict terrain traversability accurately. Traditional methods for generating datasets to train these…
BYON: Bring Your Own Networks for Digital Agriculture Applications
Emerson Sie, Bill Tao, Aganze Mihigo +5
Digital agriculture technologies rely on sensors, drones, robots, and autonomous farm equipment to improve farm yields and incorporate sustainability practices. However, the adopti…