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Found 6 papers, 0 papers with code
Model-Based Underwater 6D Pose Estimation from RGB
All objects and scenes are made available in an open-source dataset that includes annotations for object detection and pose estimation.
Building Affordance Relations for Robotic Agents - A Review
Affordances describe the possibilities for an agent to perform actions with an object.
Online Mapping and Motion Planning under Uncertainty for Safe Navigation in Unknown Environments
The proposed approach deals with the motion, probabilistic safety, and online computation constraints by: (i) incrementally mapping the surroundings to build an uncertainty-aware representation of the environment, and (ii) iteratively (re)planning trajectories to goal that are kinodynamically feasible and probabilistically safe through a multi-layered sampling-based planner in the belief space.
Affordances in Robotic Tasks -- A Survey
Affordances are key attributes of what must be perceived by an autonomous robotic agent in order to effectively interact with novel objects.
Robotics
Robots in the Danger Zone: Exploring Public Perception through Engagement
We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector.
Learning Grasp Affordance Reasoning through Semantic Relations
We use Markov Logic Networks to build a knowledge base graph representation to obtain a probability distribution of grasp affordances for an object.
Robotics
