Integrated task and motion planning
The problem of planning for a robot that operates in environments containing a large
number of objects, taking actions to move itself through the world as well as to change the …
number of objects, taking actions to move itself through the world as well as to change the …
Dentronics: Towards robotics and artificial intelligence in dentistry
J Grischke, L Johannsmeier, L Eich, L Griga… - Dental Materials, 2020 - Elsevier
Objectives This paper provides an overview of existing applications and concepts of robotic
systems and artificial intelligence in dentistry. This review aims to provide the community …
systems and artificial intelligence in dentistry. This review aims to provide the community …
Text2motion: From natural language instructions to feasible plans
Abstract We propose Text2Motion, a language-based planning framework enabling robots
to solve sequential manipulation tasks that require long-horizon reasoning. Given a natural …
to solve sequential manipulation tasks that require long-horizon reasoning. Given a natural …
Sayplan: Grounding large language models using 3d scene graphs for scalable task planning
Large language models (LLMs) have demonstrated impressive results in developing
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
[图书][B] Artificial intelligence and games
GN Yannakakis, J Togelius - 2018 - Springer
Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …
Solving the Rubik's cube with deep reinforcement learning and search
The Rubik's cube is a prototypical combinatorial puzzle that has a large state space with a
single goal state. The goal state is unlikely to be accessed using sequences of randomly …
single goal state. The goal state is unlikely to be accessed using sequences of randomly …
Expertise increases planning depth in human gameplay
A hallmark of human intelligence is the ability to plan multiple steps into the future,. Despite
decades of research,–, it is still debated whether skilled decision-makers plan more steps …
decades of research,–, it is still debated whether skilled decision-makers plan more steps …
[HTML][HTML] Conflict-based search for optimal multi-agent pathfinding
In the multi-agent pathfinding problem (MAPF) we are given a set of agents each with
respective start and goal positions. The task is to find paths for all agents while avoiding …
respective start and goal positions. The task is to find paths for all agents while avoiding …
Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning
Large language models (LLMs) have demonstrated impressive results in developing
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
generalist planning agents for diverse tasks. However, grounding these plans in expansive …
Data analytics in industry 4.0: A survey
Industry 4.0 is the fourth industrial revolution for decentralized production through shared
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …
facilities to achieve on-demand manufacturing and resource efficiency. It evolves from …