2020 - AAAI Distinguished Service Award For significant contributions to the field of artificial intelligence through sustained service to the Association for the Advancement of Artificial Intelligence and the furtherance of the field as an organizer, researcher, and mentor.
His primary areas of study are Artificial intelligence, Robot, Human–computer interaction, Human–robot interaction and Mobile robot. His study focuses on the intersection of Artificial intelligence and fields such as Machine learning with connections in the field of Decision rule. His work on Robot learning and Mobile robot navigation as part of general Robot study is frequently linked to Grid, Design analysis and Structure, therefore connecting diverse disciplines of science.
His work focuses on many connections between Human–computer interaction and other disciplines, such as Robotics, that overlap with his field of interest in Ground vehicles and Simulation. In Human–robot interaction, Alan C. Schultz works on issues like Cognitive robotics, which are connected to Cognitive model, Cognitive architecture and Semantics. His Mobile robot research is multidisciplinary, incorporating elements of Natural language understanding, Computer vision and Gesture recognition.
The scientist’s investigation covers issues in Artificial intelligence, Robot, Human–computer interaction, Mobile robot and Human–robot interaction. His research is interdisciplinary, bridging the disciplines of Cognitive model and Artificial intelligence. His Usability study in the realm of Human–computer interaction connects with subjects such as Natural, Autonomy and Component.
His study in the fields of Robot control, Mobile robot navigation and Robot learning under the domain of Mobile robot overlaps with other disciplines such as Competition. His Human–robot interaction study combines topics in areas such as Natural language understanding, Engineering ethics, Peer-to-peer, Cognitive robotics and Spatial intelligence. His Cognitive robotics research includes elements of Semantics and Knowledge representation and reasoning.
Alan C. Schultz mainly focuses on Robot, Human–robot interaction, Artificial intelligence, Human–computer interaction and Mobile robot. The concepts of his Robot study are interwoven with issues in Cooperative coevolution and Distributed computing. Alan C. Schultz has researched Human–robot interaction in several fields, including Engineering ethics, Peer-to-peer, Cognitive model, Cognitive robotics and Spatial intelligence.
His Artificial intelligence study frequently draws connections to other fields, such as Cognitive architecture. His study looks at the relationship between Human–computer interaction and fields such as Robotics, as well as how they intersect with chemical problems. Mobile robot and Computer vision are commonly linked in his work.
Alan C. Schultz mostly deals with Human–robot interaction, Artificial intelligence, Robot, Cognitive model and Cognitive architecture. His Human–robot interaction study frequently draws parallels with other fields, such as Engineering ethics. The Artificial intelligence study combines topics in areas such as Human–computer interaction and Internet privacy.
His Robotics research extends to the thematically linked field of Human–computer interaction. In the subject of general Internet privacy, his work in Hide and seek is often linked to Perspective-taking, thereby combining diverse domains of study. His work on Cognitive robotics as part of general Embodied cognition research is frequently linked to Leverage and Cognitive science, thereby connecting diverse disciplines of science.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Human-Robot Interaction: A Survey
Michael A. Goodrich;Alan C. Schultz.
Common metrics for human-robot interaction
Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis.
human-robot interaction (2006)
Genetic and Evolutionary Computation -- GECCO-2003
Erick Cantú-Paz;James A. Foster;Kalyanmoy Deb;Lawrence David Davis.
Designing robots for long-term social interaction
R. Gockley;A. Bruce;J. Forlizzi;M. Michalowski.
intelligent robots and systems (2005)
Evolutionary algorithms for reinforcement learning
David E. Moriarty;Alan C. Schultz;John J. Grefenstette.
Journal of Artificial Intelligence Research (1999)
Learning Sequential Decision Rules Using Simulation Models and Competition
John J. Grefenstette;Connie Loggia Ramsey;Alan C. Schultz.
Machine Learning (1990)
Enabling effective human-robot interaction using perspective-taking in robots
J.G. Trafton;N.L. Cassimatis;M.D. Bugajska;D.P. Brock.
systems man and cybernetics (2005)
Mobile robot exploration and map-building with continuous localization
B. Yamauchi;A. Schultz;W. Adams.
international conference on robotics and automation (1998)
Building a multimodal human-robot interface
D. Perzanowski;A.C. Schultz;W. Adams;E. Marsh.
IEEE Intelligent Systems (2001)
Spatial language for human-robot dialogs
M. Skubic;D. Perzanowski;S. Blisard;A. Schultz.
systems man and cybernetics (2004)
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