Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 218,433,294 papers from all fields of science
Search
Sign In
Create Free Account
Compliance (psychology)
Known as:
Compliance
Compliance refers to a response—specifically, a submission—made in reaction to a request. The request may be explicit (i.e., foot-in-the-door…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
6 relations
Broader (1)
Conformity
Milgram experiment
Normative social influence
Obedience (human behavior)
Social proof
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2020
2020
A Generative Approach for Socially Compliant Navigation
Chieh-En Tsai
,
Jean Oh
IEEE International Conference on Robotics and…
2020
Corpus ID: 221848852
Robots navigating in human crowds need to optimize their paths not only for their task performance but also for their compliance…
Expand
2019
2019
Following Social Groups: Socially Compliant Autonomous Navigation in Dense Crowds
Xinjie Yao
,
Ji Zhang
,
Jean Oh
arXiv.org
2019
Corpus ID: 208310222
In densely populated environments, socially compliant navigation is critical for autonomous robots as driving close to people is…
Expand
2019
2019
Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation
Yuqing Du
,
Nicholas J. Hetherington
,
+5 authors
Monash University
IEEE International Conference on Robotics and…
2019
Corpus ID: 197622214
In this paper, we propose a novel navigation system for mobile robots in pedestrian-rich sidewalk environments. Sidewalks are…
Expand
2019
2019
Right of Way, Assertiveness and Social Recognition in Human-Robot Doorway Interaction
Jack Thomas
,
R. Vaughan
IEEE/RJS International Conference on Intelligent…
2019
Corpus ID: 210971519
We expand on previous work for negotiating human-robot navigation contention around doorways to produce a more socially-compliant…
Expand
2018
2018
Learning How Pedestrians Navigate: A Deep Inverse Reinforcement Learning Approach
M. Fahad
,
Zhuo Chen
,
Yi Guo
IEEE/RJS International Conference on Intelligent…
2018
Corpus ID: 57755447
Humans and mobile robots will be increasingly cohabiting in the same environments, which has lead to an increase in studies on…
Expand
2018
2018
Predicting Occupancy Distributions of Walking Humans With Convolutional Neural Networks
Johannes Doellinger
,
Markus Spies
,
Wolfram Burgard
IEEE Robotics and Automation Letters
2018
Corpus ID: 3574332
As robots are increasingly entering human environments, many subtleties of socially compliant navigation are still unsolved. To…
Expand
Highly Cited
2013
Highly Cited
2013
Teaching mobile robots to cooperatively navigate in populated environments
M. Kuderer
,
Henrik Kretzschmar
,
Wolfram Burgard
IEEE/RSJ International Conference on Intelligent…
2013
Corpus ID: 14261064
Mobile service robots are envisioned to operate in environments that are populated by humans and therefore ought to navigate in a…
Expand
2013
2013
Prediction of human collision avoidance behavior by lifelong learning for socially compliant robot navigation
Christoph Weinrich
,
Michael Volkhardt
,
Erik Einhorn
,
H. Groß
IEEE International Conference on Robotics and…
2013
Corpus ID: 14540540
In order to act socially compliant with humans, mobile robots need to show several behaviors that require the prediction of…
Expand
2011
2011
Social-Compliance in Trust Management within Virtual Communities
Reda Yaich
,
O. Boissier
,
P. Jaillon
,
Gauthier Picard
IEEE/WIC/ACM International Conferences on Web…
2011
Corpus ID: 2796626
Recent years witnessed an ever growing impact of trust in the decision-making process within virtual communities. The inherent…
Expand
2007
2007
Integrative Linkage: Combining Public and Private Regulatory Approaches in the Design of Trade and Labor Regimes
Kevin Kolben
2007
Corpus ID: 150906595
One of the most contentious issues in the debate over trade liberalization concerns whether, and how, labor rights provisions…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE