|
Showing 1 - 2 of
2 matches in All Departments
In this book, we have set up a unified analytical framework for
various human-robot systems, which involve peer-peer interactions
(either space-sharing or time-sharing) or hierarchical
interactions. A methodology in designing the robot behavior through
control, planning, decision and learning is proposed. In
particular, the following topics are discussed in-depth: safety
during human-robot interactions, efficiency in real-time robot
motion planning, imitation of human behaviors from demonstration,
dexterity of robots to adapt to different environments and tasks,
cooperation among robots and humans with conflict resolution. These
methods are applied in various scenarios, such as human-robot
collaborative assembly, robot skill learning from human
demonstration, interaction between autonomous and human-driven
vehicles, etc. Key Features: Proposes a unified framework to model
and analyze human-robot interactions under different modes of
interactions. Systematically discusses the control, decision and
learning algorithms to enable robots to interact safely with humans
in a variety of applications. Presents numerous experimental
studies with both industrial collaborative robot arms and
autonomous vehicles.
In this book, we have set up a unified analytical framework for
various human-robot systems, which involve peer-peer interactions
(either space-sharing or time-sharing) or hierarchical
interactions. A methodology in designing the robot behavior through
control, planning, decision and learning is proposed. In
particular, the following topics are discussed in-depth: safety
during human-robot interactions, efficiency in real-time robot
motion planning, imitation of human behaviors from demonstration,
dexterity of robots to adapt to different environments and tasks,
cooperation among robots and humans with conflict resolution. These
methods are applied in various scenarios, such as human-robot
collaborative assembly, robot skill learning from human
demonstration, interaction between autonomous and human-driven
vehicles, etc. Key Features: Proposes a unified framework to model
and analyze human-robot interactions under different modes of
interactions. Systematically discusses the control, decision and
learning algorithms to enable robots to interact safely with humans
in a variety of applications. Presents numerous experimental
studies with both industrial collaborative robot arms and
autonomous vehicles.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|