Toward robotic manipulation
MT Mason - Annual Review of Control, Robotics, and …, 2018 - annualreviews.org
This article surveys manipulation, including both biological and robotic manipulation.
Biology inspires robotics and demonstrates aspects of manipulation that are far in the future …
Biology inspires robotics and demonstrates aspects of manipulation that are far in the future …
Human-level performance in 3D multiplayer games with population-based reinforcement learning
Reinforcement learning (RL) has shown great success in increasingly complex single-agent
environments and two-player turn-based games. However, the real world contains multiple …
environments and two-player turn-based games. However, the real world contains multiple …
[HTML][HTML] Robotic world models—conceptualization, review, and engineering best practices
The term “world model”(WM) has surfaced several times in robotics, for instance, in the
context of mobile manipulation, navigation and map**, and deep reinforcement learning …
context of mobile manipulation, navigation and map**, and deep reinforcement learning …
Probabilistic pursuit-evasion games: theory, implementation, and experimental evaluation
We consider the problem of having a team of unmanned aerial vehicles (UAVs) and
unmanned ground vehicles (UGVs) pursue a second team of evaders while concurrently …
unmanned ground vehicles (UGVs) pursue a second team of evaders while concurrently …
Multirobot systems: a classification focused on coordination
Multirobot systems (MRS) are, nowadays, an important research area within robotics and
artificial intelligence and a growing number of systems have recently been presented in the …
artificial intelligence and a growing number of systems have recently been presented in the …
Reactivity and deliberation: a survey on multi-robot systems
Abstract Multi Robot Systems are, nowadays, an important research area within Robotics
and Artificial Intelligence. Although Multi Robot Systems can be regarded as a particular …
and Artificial Intelligence. Although Multi Robot Systems can be regarded as a particular …
Developments and challenges for autonomous unmanned vehicles
It is widely anticipated that autonomous vehicles will have a transformational impact on
military forces and will play a key role in many future force structures. As a result, many tasks …
military forces and will play a key role in many future force structures. As a result, many tasks …
Design and implementation of model-predictive control with friction compensation on an omnidirectional mobile robot
This paper presents and discusses the implementation results of a model-predictive control
(MPC) scheme with friction compensation applied to trajectory following of an …
(MPC) scheme with friction compensation applied to trajectory following of an …
[PDF][PDF] Object-oriented curriculum generation for reinforcement learning
Autonomously learning a complex task takes a very long time for Reinforcement Learning
(RL) agents. One way to learn faster is by dividing a complex task into several simple …
(RL) agents. One way to learn faster is by dividing a complex task into several simple …
Distributed coordination in heterogeneous multi-robot systems
Coordination in multi-robot systems is a very active research field in Artificial Intelligence
and Robotics, since through coordination one can achieve a more effective execution of the …
and Robotics, since through coordination one can achieve a more effective execution of the …