Robot Ecology : Constraint-Based Design for Long-Duration Autonomy /
A revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncert...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Princeton :
Princeton University Press,
[2021]
|
| Subjects: | |
| Online Access: | Connect to this title online (unlimited users allowed) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | b4018341 | ||
| 003 | CStclU | ||
| 005 | 20240524050223.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 211009s2021 nju o 000 0 eng d | ||
| 020 | |a 9780691230078 |q (electronic book) | ||
| 020 | |a 0691230072 |q (electronic book) | ||
| 035 | |a (OCoLC)jeba1273979524 | ||
| 035 | |a (OCoLC)1273979524 | ||
| 037 | |a 22573/ctv1nw3cx5 |b JSTOR | ||
| 040 | |a EBLCP |b eng |e rda |e pn |c EBLCP |d N$T |d YDX |d JSTOR |d WAU |d OCLCO |d UKAHL |d OCLCF |d OCLCO |d OCLCQ |d RDF |d OCLCQ |d OCLCO |d YWS |d OCLCL | ||
| 049 | |a STAW | ||
| 050 | 4 | |a TJ211.495 |b .E34 2021 | |
| 100 | 1 | |a Egerstedt, Magnus, |e author. | |
| 245 | 1 | 0 | |a Robot Ecology : |b Constraint-Based Design for Long-Duration Autonomy / |c Magnus Egerstedt. |
| 264 | 1 | |a Princeton : |b Princeton University Press, |c [2021] | |
| 300 | |a 1 online resource (1 volume) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t I. Long-Duration Autonomy -- |t 1. Introduction -- |t 2. Survival of the Robots -- |t 3. Ecological Connections -- |t II. Constraint-Based Control -- |t 4. Constraints and Barriers -- |t 5. Persistification of Robotic Tasks -- |t 6. Composition of Barrier Functions -- |t III. Robots in the Wild -- |t 7. Robot Ecology -- |t 8. Environmental Monitoring -- |t 9. Autonomy-on-Demand -- |t Bibliography -- |t Index |
| 520 | |a A revolutionary new framework that draws on insights from ecology for the design and analysis of long-duration robotsRobots are increasingly leaving the confines of laboratories, warehouses, and manufacturing facilities, venturing into agriculture and other settings where they must operate in uncertain conditions over long timescales. This multidisciplinary book draws on the principles of ecology to show how robots can take full advantage of the environments they inhabit, including as sources of energy.Magnus Egerstedt introduces a revolutionary new design paradigm--robot ecology--that makes it possible to achieve long-duration autonomy while avoiding catastrophic failures. Central to ecology is the idea that the richness of an organism's behavior is a function of the environmental constraints imposed by its habitat. Moving beyond traditional strategies that focus on optimal policies for making robots achieve targeted tasks, Egerstedt explores how to use survivability constraints to produce both effective and provably safe robot behaviors. He blends discussions of ecological principles with the development of control barrier functions as a formal approach to constraint-based control design, and provides an in-depth look at the design of the SlothBot, a slow and energy-efficient robot used for environmental monitoring and conservation.Visionary in scope, Robot Ecology presents a comprehensive and unified methodology for designing robots that can function over long durations in diverse natural environments. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on January 04, 2022). | |
| 650 | 0 | |a Autonomous robots |x Design and construction. | |
| 650 | 0 | |a Robots |x Control systems. | |
| 650 | 0 | |a Robotics |x Environmental aspects. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Robotics. |2 bisacsh | |
| 650 | 7 | |a Robots |x Control systems |2 fast | |
| 653 | |a Robotics, Control theory, Ecology, Environmental monitoring, Autonomy, Swarm robotics, Biologically inspired design, Motion control. | ||
| 776 | 0 | 8 | |i Print version: |a Egerstedt, Magnus. |t Robot Ecology. |d Princeton : Princeton University Press, ©2021 |z 9780691211688 |
| 856 | 4 | 0 | |u https://login.libproxy.scu.edu/login?url=https://www.jstor.org/stable/10.2307/j.ctv1nwbqx4 |z Connect to this title online (unlimited users allowed) |t 0 |
| 907 | |a .b40183415 |b 240528 |c 240116 | ||
| 998 | |a uww |b |c m |d z |e l |f eng |g nju |h 0 | ||
| 919 | |a .ulebk |b 2024-02-15 | ||
| 917 | |a JSTOR EBA Program | ||
| 999 | f | f | |i ac88c50a-cca0-5967-8360-94cd3429ff8d |s 6cd22cd6-f885-58f2-832c-d3b0a978757b |t 0 |