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Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
Review of deep reinforcement learning-based object gras**: Techniques, open challenges, and recommendations
The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …
reinforcement learning-based object manipulation. Various studies are examined through a …
Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes
Gras** unseen objects in unconstrained, cluttered environments is an essential skill for
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
autonomous robotic manipulation. Despite recent progress in full 6-DoF grasp learning …
Graspnet-1billion: A large-scale benchmark for general object gras**
Object gras** is critical for many applications, which is also a challenging computer vision
problem. However, for cluttered scene, current researches suffer from the problems of …
problem. However, for cluttered scene, current researches suffer from the problems of …
Graspgpt: Leveraging semantic knowledge from a large language model for task-oriented gras**
Task-oriented gras** (TOG) refers to the problem of predicting grasps on an object that
enable subsequent manipulation tasks. To model the complex relationships between …
enable subsequent manipulation tasks. To model the complex relationships between …
Oakink: A large-scale knowledge repository for understanding hand-object interaction
Learning how humans manipulate objects requires machines to acquire knowledge from
two perspectives: one for understanding object affordances and the other for learning …
two perspectives: one for understanding object affordances and the other for learning …
Manipulathor: A framework for visual object manipulation
The domain of Embodied AI has recently witnessed substantial progress, particularly in
navigating agents within their environments. These early successes have laid the building …
navigating agents within their environments. These early successes have laid the building …
Maniskill: Generalizable manipulation skill benchmark with large-scale demonstrations
T Mu, Z Ling, F **, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
Creative robot tool use with large language models
Tool use is a hallmark of advanced intelligence, exemplified in both animal behavior and
robotic capabilities. This paper investigates the feasibility of imbuing robots with the ability to …
robotic capabilities. This paper investigates the feasibility of imbuing robots with the ability to …