Anca D Dragan
Biographic Data
| ID | 5124202 |
|---|---|
| NAME | Anca D Dragan |
| GIVEN NAMES | Anca D |
| FAMILY NAME | Dragan |
| SIGNATURE | DRAGAN A D |
| AFFILIATIONS | University of California, Berkeley |
| ORCID | 0000-0001-6312-5466 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Introduction to the Special Issue on Explainable Robotic Systems
introduction Open AccessIntroduction to the Special Issue on Explainable Robotic Systems Share on Authors: Maartje M. A. De Graaf Utrecht University Utrecht UniversityView Profile , Anca Dragan University of California, Berkeley University of California, BerkeleyView Profile , Bertram F. Malle Brown University Brown UniversityView Profile , Tom Ziemke Linkoping University Linkoping UniversityView Profile Authors Info & Claims ACM Transactions on …
Viewpoint-based legibility optimization
Much robotics research has focused on intent-expressive (legible) motion. However, algorithms that can autonomously generate legible motion have implicitly made the strong assumption of an omniscient observer, with access to the robot's configuration as it changes across time. In reality, human observers have a particular viewpoint, which biases the way they perceive the motion. In this work, we free robots from this assumption and introduce the …
Viewpoint-based legibility optimization
Much robotics research has focused on intent-expressive (legible) motion. However, algorithms that can autonomously generate legible motion have implicitly made the strong assumption of an omniscient observer, with access to the robot's configuration as it changes across time. In reality, human observers have a particular viewpoint, which biases the way they perceive the motion. In this work, we free robots from this assumption and introduce the …
Viewpoint-based legibility optimization
Much robotics research has focused on intent-expressive (legible) motion. However, algorithms that can autonomously generate legible motion have implicitly made the strong assumption of an omniscient observer, with access to the robot's configuration as it changes across time. In reality, human observers have a particular viewpoint, which biases the way they perceive the motion. In this work, we free robots from this assumption and introduce the …
Introduction to the Special Issue on Explainable Robotic Systems
introduction Open AccessIntroduction to the Special Issue on Explainable Robotic Systems Share on Authors: Maartje M. A. De Graaf Utrecht University Utrecht UniversityView Profile , Anca Dragan University of California, Berkeley University of California, BerkeleyView Profile , Bertram F. Malle Brown University Brown UniversityView Profile , Tom Ziemke Linkoping University Linkoping UniversityView Profile Authors Info & Claims ACM Transactions on …
Computer Science (2 works) · Social Robot Interaction and HRI (2 works) · Action Observation and Synchronization (1 work) · Artificial Intelligence (1 work) · Child and Animal Learning Development (1 work) · Citation (1 work) · Computer vision (1 work) · Ethics and Social Impacts of AI (1 work) · Human–computer interaction (1 work) · Legibility (1 work)