Julie A Adams
Biographic Data
| ID | 4973493 |
|---|---|
| NAME | Julie A Adams |
| GIVEN NAMES | Julie A |
| FAMILY NAME | Adams |
| SIGNATURE | ADAMS J A |
| AFFILIATIONS | Oregon State University |
| ORCID | 0000-0002-7774-728X |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Integrating Robot Manufacturer Perspectives into Legible Factory Robot Light Communications
In a world with increasing numbers of robots operating in everyday human spaces, the employees at this robotics company are pioneers, with intelligent point-to-point path planning and autonomous transport operations in 150+ factory and warehouse locations in North America. At the time of research, this robotics company consisted of 250 employees. Unlike other industry models, their robots are designed to operate with people in mixed human-machine…
Transparency’s Influence on Human-collective Interactions
Collective robotic systems are biologically inspired and advantageous due to their apparent global intelligence and emergent behaviors. Many applications can benefit from the incorporation of collectives, including environmental monitoring, disaster response missions, and infrastructure support. Transparency research has primarily focused on how the design of the models, visualizations, and control mechanisms influence human-collective interactio…
A chronology of SIGCHI conferences
Conferences form the backbone of SIGCHI. They are the reason we exist as a collective entity and a special interest group. They connect us and bring us together as a community of human-computer interaction (HCI) researchers, educators, students, and practitioners. In this article, we take stock of SIGCHI's portfolio of conferences, offering a snapshot of their histories toward better understanding our eclectic knowledge commitments and intertwine…
Human-Collective Collaborative Target Selection
Robotic collectives are composed of hundreds or thousands of distributed robots using local sensing and communication that encompass characteristics of biological spatial swarms, colonies, or a combination of both. Interactions between the individual entities can result in emergent collective behaviors. Human operators in future disaster response or military engagement scenarios are likely to deploy semi-autonomous collectives to gather informati…
Capturing Complexity
Medium-scale archaeological phenomena (large settlements, landscape features and infrastructural systems, road networks, etc.) pose significant challenges to archaeological documentation. Traditionally, such features are mapped either schematically or via labor-intensive (or otherwise costly) high-resolution methods. The advent of inexpensive, packable unmanned aerial vehicles (UAVs) and lighter-than-air platforms, combined with increasingly soph…
Th IEEE International Workshop on Robot and Human Interactive Communication
No abstract available
Capturing Complexity
Medium-scale archaeological phenomena (large settlements, landscape features and infrastructural systems, road networks, etc.) pose significant challenges to archaeological documentation. Traditionally, such features are mapped either schematically or via labor-intensive (or otherwise costly) high-resolution methods. The advent of inexpensive, packable unmanned aerial vehicles (UAVs) and lighter-than-air platforms, combined with increasingly soph…
Th IEEE International Workshop on Robot and Human Interactive Communication
No abstract available
Capturing Complexity
Medium-scale archaeological phenomena (large settlements, landscape features and infrastructural systems, road networks, etc.) pose significant challenges to archaeological documentation. Traditionally, such features are mapped either schematically or via labor-intensive (or otherwise costly) high-resolution methods. The advent of inexpensive, packable unmanned aerial vehicles (UAVs) and lighter-than-air platforms, combined with increasingly soph…
Human-Collective Collaborative Target Selection
Robotic collectives are composed of hundreds or thousands of distributed robots using local sensing and communication that encompass characteristics of biological spatial swarms, colonies, or a combination of both. Interactions between the individual entities can result in emergent collective behaviors. Human operators in future disaster response or military engagement scenarios are likely to deploy semi-autonomous collectives to gather informati…
Transparency’s Influence on Human-collective Interactions
Collective robotic systems are biologically inspired and advantageous due to their apparent global intelligence and emergent behaviors. Many applications can benefit from the incorporation of collectives, including environmental monitoring, disaster response missions, and infrastructure support. Transparency research has primarily focused on how the design of the models, visualizations, and control mechanisms influence human-collective interactio…
A chronology of SIGCHI conferences
Conferences form the backbone of SIGCHI. They are the reason we exist as a collective entity and a special interest group. They connect us and bring us together as a community of human-computer interaction (HCI) researchers, educators, students, and practitioners. In this article, we take stock of SIGCHI's portfolio of conferences, offering a snapshot of their histories toward better understanding our eclectic knowledge commitments and intertwine…
Integrating Robot Manufacturer Perspectives into Legible Factory Robot Light Communications
In a world with increasing numbers of robots operating in everyday human spaces, the employees at this robotics company are pioneers, with intelligent point-to-point path planning and autonomous transport operations in 150+ factory and warehouse locations in North America. At the time of research, this robotics company consisted of 250 employees. Unlike other industry models, their robots are designed to operate with people in mixed human-machine…
Computer Science (6 works) · Artificial Intelligence (5 works) · Human–computer interaction (4 works) · Engineering (3 works) · Mobile Crowdsensing and Crowdsourcing (2 works) · Robot (2 works) · Robotics and Automated Systems (2 works) · 3D Surveying and Cultural Heritage (1 work) · Action selection (1 work) · Aerial Survey (1 work)