[HTML][HTML] Exploring Saliency for Learning Sensory-Motor Contingencies in Loco-Manipulation Tasks
The objective of this paper is to propose a framework for a robot to learn multiple Sensory-
Motor Contingencies from human demonstrations and reproduce them. Sensory-Motor …
Motor Contingencies from human demonstrations and reproduce them. Sensory-Motor …
ActionVOS: Actions as Prompts for Video Object Segmentation
Delving into the realm of egocentric vision, the advancement of referring video object
segmentation (RVOS) stands as pivotal in understanding human activities. However …
segmentation (RVOS) stands as pivotal in understanding human activities. However …
On Affordances and their Entailment for Autonomous Robotic Systems
In robotics, affordances are used as a theoretical framework for guiding a robot's interaction
with the objects within its environment. In particular, affordances are formalized in order to …
with the objects within its environment. In particular, affordances are formalized in order to …
Learning Compositional Abstract Models Incrementally for Efficient Bilevel Task and Motion Planning
WB McClinton III - 2024 - dspace.mit.edu
In robotic domains featuring continuous state and action spaces, planning in long-horizon
task is fundamentally hard, even when the transition model is deterministic and known. One …
task is fundamentally hard, even when the transition model is deterministic and known. One …
Can I open it?: Robot Affordance Inference using a Probabilistic Reasoning Approach
J Aguirregomezcorta Aina - 2024 - diva-portal.org
Modern autonomous systems should be able to interact with their surroundings in a flexible
yet safe manner. To guarantee this behavior, such systems must learn how to approach …
yet safe manner. To guarantee this behavior, such systems must learn how to approach …