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 …
Keto: Learning keypoint representations for tool manipulation
We aim to develop an algorithm for robots to manipulate novel objects as tools for
completing different task goals. An efficient and informative representation would facilitate …
completing different task goals. An efficient and informative representation would facilitate …
A framework for tool cognition in robots without prior tool learning or observation
Human tool use prowess distinguishes us from other animals. In many scenarios, a human
is able to recognize objects seen for the first time as potential tools for a task and use them …
is able to recognize objects seen for the first time as potential tools for a task and use them …
Metrics for robot proficiency self-assessment and communication of proficiency in human-robot teams
As development of robots with the ability to self-assess their proficiency for accomplishing
tasks continues to grow, metrics are needed to evaluate the characteristics and performance …
tasks continues to grow, metrics are needed to evaluate the characteristics and performance …
Creative problem solving in artificially intelligent agents: A survey and framework
Abstract Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that
focuses on methods for solving off-nominal, or anomalous problems in autonomous …
focuses on methods for solving off-nominal, or anomalous problems in autonomous …
Learning interaction regions and motion trajectories simultaneously from egocentric demonstration videos
Learning to interact with objects is significant for robots to integrate into human
environments. When the interaction semantic is definite, manually guiding the manipulator is …
environments. When the interaction semantic is definite, manually guiding the manipulator is …
INQUIRE: INteractive querying for user-aware informative REasoning
Research on Interactive Robot Learning has yielded several modalities for querying a
human for training data, including demonstrations, preferences, and corrections. While prior …
human for training data, including demonstrations, preferences, and corrections. While prior …
Learning to manipulate tools by aligning simulation to video demonstration
A seamless integration of robots into human environments requires robots to learn how to
use existing human tools. Current approaches for learning tool manipulation skills mostly …
use existing human tools. Current approaches for learning tool manipulation skills mostly …