Collaborative Robotics and Intelligent Systems (CoRIS) Institute // Hyrax

The mission at CoRIS is to study the theory, design, development and deployment of robots and intelligent systems in both the physical world and virtual environments.

The robotics revolution has begun, and there’s no turning back. Robots touch every corner of modern life. They’ve changed the faces of fields ranging from business, engineering, and communications to transportation, agriculture, medicine, and national defense. Robots have tipped the world’s economic balance by profoundly reshaping entire industries while generating entirely new ones. As robotic technology continues to advance, the possibilities seem boundless, but such rapid, relentless change also presents many challenges. How should our society prepare for a future so full of uncertainty, promise, and risk? What can we do to harness the power of robotics to serve us best? Complex questions like these gave rise to the Collaborative Robotics and Intelligent Systems Institute (CoRIS) at Oregon State University, and the search for answers will fuel its mission for years to come.

Website: CoRIS

Détails de la collection

Total travaux: 14
Taille: unknown
Language: English [eng]

Fonctionne dans cette collection (13)

1. "Meet the Mobile Shoe Rack!" : Interviewing Participants

Créateur:: Rueben, Matthew, Klow, Jeffrey, Browning, Madison, Duer, Madelyn, Piacentini, Jennifer, Zimmerman, Eric, Bernieri, Frank J., and Smart, William D.
Abstract:: The science of how people interact socially with robots is still fairly young. One area of ongoing study is how people figure out the way the robot works -- that is, form a "mental model" of the robot. We are especially ignorant of how this happens over time, starting with...
Resource Type:: Poster

2. “Meet the Mobile Shoe Rack!”: Analyzing Videos of Participant Behavior

Créateur:: Rueben, Matthew, Klow, Jeffrey, Browning, Madison, Duer, Madelyn, Piacentini, Jennifer, Zimmerman, Eric, Bernieri, Frank J., and Smart, William D.
Abstract:: The science of how people interact socially with robots is still fairly young. One area of ongoing study is how people figure out the way the robot works -- that is, form a "mental model" of the robot. We are especially ignorant of how this happens over time, starting with...
Resource Type:: Poster

3. Industry Feedback : Opportunities for Autonomous Monitoring and Intervention in Marine Renewable Energy Arrays

Créateur:: Lawrance, Nicholas and Hollinger, Geoffrey A.
Abstract:: Underwater monitoring and manipulation with autonomous underwater vehicles (AUVs) are active avenues of research in the Field Robotics Community. The purpose of this document is to briefly summarize some of the more promising research applications as well as provide information from four companies working in the area of marine renewable...
Resource Type:: Technical Report

4. Counterfactual thinking applied to multiagent systems

Créateur:: Zerbel, Nicholas
Abstract:: Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
Resource Type:: Dissertation

5. Geometry of Locomotion

Créateur:: Ramasamy, Suresh
Abstract:: Many animals and robots move through the world by coupling cyclical changes in shape called gaits to an interaction with the environment. Because mobility is an important aspect of such robots, a key metric when evaluating design and performance of mobile robots is the efficiency of their optimal gaits. The...
Resource Type:: Dissertation

6. Towards Annotation-Efficient Video Representation Learning

Créateur:: Patravali, Jay Sanjay
Abstract:: Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
Resource Type:: Masters Thesis

7. Realizable Path Planning and Execution for Robotic Systems

Créateur:: Jones, Dylan A.
Abstract:: Performing autonomous robotic tasks in the field, such as ocean monitoring and aerial surveillance, requires planning and executing paths in dynamic environments. In these uncertain and changing environments, it is not uncommon to see a large difference between the path planned by the robotic vehicle and the path that the...
Resource Type:: Dissertation

8. Designing and Evaluating a User Interface for Multi-Robot Furniture

Créateur:: Stoddard, Brett
Abstract:: A chair, once placed, will stay put until moved. Or will it? With the rise of technology being embeddable into everyday objects, what if that chair could move itself? Such robotic furniture has been featured in advertisements, art, and Human-Robot Interaction (HRI) research. Existing methods for operating robotic furniture have...
Resource Type:: Masters Thesis

9. Efficiently Learning Human Preferences for Robot Autonomy

Créateur:: Somers, Thane N.
Abstract:: Human-robot teams are invaluable for mapping unknown environments, exploring difficult-to-reach areas, and manipulating inaccessible equipment. However, guiding autonomous robots requires dealing with these dynamic domains while synthesizing a significant amount of data and balancing competing objectives. Current mission planning methods often involve manually specifying low-level parameters of the mission, such...
Resource Type:: Masters Thesis

10. Topological Learning for Robotic Exploration and Navigation in Uncertain Environments

Créateur:: Saroya, Manish R.
Abstract:: The effectiveness of robot autonomy is governed by the ability to make decisions based on online sensor measurements and a prior belief of the environment. Uncertainty in the environment introduces challenges to robotic decision making. This thesis address two key robot decision making problems: exploration and navigation. The robotic exploration...
Resource Type:: Masters Thesis