Robot tool use: A survey
Using human tools can significantly benefit robots in many application domains. Such ability
would allow robots to solve problems that they were unable to without tools. However, robot …
would allow robots to solve problems that they were unable to without tools. However, robot …
Toward general-purpose robots via foundation models: A survey and meta-analysis
Y Hu, Q ** in clutter from simulation
Task-relevant gras** is critical for industrial assembly, where downstream manipulation
tasks constrain the set of valid grasps. Learning how to perform this task, however, is …
tasks constrain the set of valid grasps. Learning how to perform this task, however, is …
Understanding physical effects for effective tool-use
We present a robot learning and planning framework that produces an effective tool-use
strategy with the least joint efforts, capable of handling objects different from training …
strategy with the least joint efforts, capable of handling objects different from training …
Deep visual constraints: Neural implicit models for manipulation planning from visual input
Manipulation planning is the problem of finding a sequence of robot configurations that
involves interactions with objects in the scene, eg, gras** and placing an object, or more …
involves interactions with objects in the scene, eg, gras** and placing an object, or more …
Towards learning geometric eigen-lengths crucial for fitting tasks
Some extremely low-dimensional yet crucial geometric eigen-lengths often determine the
success of some geometric tasks. For example, the height of an object is important to …
success of some geometric tasks. For example, the height of an object is important to …