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 …
A novel parsimonious cause-effect reasoning algorithm for robot imitation and plan recognition
Manually programming robots is difficult, impeding more widespread use of robotic systems.
In response, efforts are being made to develop robots that use imitation learning. With such …
In response, efforts are being made to develop robots that use imitation learning. With such …
Tool macgyvering: Tool construction using geometric reasoning
MacGyvering is defined as creating or repairing something in an inventive or improvised
way by utilizing objects that are available at hand. In this paper, we explore a subset of …
way by utilizing objects that are available at hand. In this paper, we explore a subset of …
[PDF][PDF] Autonomous Tool Construction Using Part Shape and Attachment Prediction.
L Nair, NS Srikanth, Z Erickson… - … Science and systems, 2019 - roboticsproceedings.org
This work explores the problem of robot tool construction-creating tools from parts available
in the environment. We advance the state-of-the-art in robotic tool construction by …
in the environment. We advance the state-of-the-art in robotic tool construction by …
Research on LFD System of Humanoid Dual-Arm Robot
Z Cui, L Kou, Z Chen, P Bao, D Qian, L **e, Y Tang - Symmetry, 2024 - mdpi.com
Although robots have been widely used in a variety of fields, the idea of enabling them to
perform multiple tasks in the same way that humans do remains a difficulty. To solve this, we …
perform multiple tasks in the same way that humans do remains a difficulty. To solve this, we …
Feature guided search for creative problem solving through tool construction
L Nair, S Chernova - Frontiers in Robotics and AI, 2020 - frontiersin.org
Robots in the real world should be able to adapt to unforeseen circumstances. Particularly in
the context of tool use, robots may not have access to the tools they need for completing a …
the context of tool use, robots may not have access to the tools they need for completing a …
NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks
GP Davis, GE Katz, RJ Gentili, JA Reggia - International Journal of Social …, 2023 - Springer
Imitation learning allows social robots to learn new skills from human teachers without
substantial manual programming, but it is difficult for robotic imitation learning systems to …
substantial manual programming, but it is difficult for robotic imitation learning systems to …
Safe and robust robot learning from demonstration through conceptual constraints
CL Mueller, B Hayes - Companion of the 2020 ACM/IEEE International …, 2020 - dl.acm.org
This thesis summary presents research focused on incorporating high-level abstract
behavioral requirements, called'conceptual constraints', into the modeling processes of …
behavioral requirements, called'conceptual constraints', into the modeling processes of …
Active Keyframe Learning (AKL): Learning Interaction and Constraint Keyframes from a Single Demonstration of a Task
T Illandara - 2022 - dspace.mit.edu
Although recent advances in robotics enable the automation of manual tasks in
manufacturing, integrating robots into a factory remains time and resource intensive, as it …
manufacturing, integrating robots into a factory remains time and resource intensive, as it …
An empirical characterization of parsimonious intention inference for cognitive-level imitation learning
Imitation learning is a promising route to better collaboration between humans and artificial
agents. It will be most effective if the agent has some cognitive-level" understanding" of a …
agents. It will be most effective if the agent has some cognitive-level" understanding" of a …