activity
20192021
most citedProjection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability

5 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.RO20212 cited

Semi-Autonomous Planning and Visualization in Virtual Reality

Gregory LeMasurier, Jordan Allspaw, Holly A. Yanco

Virtual reality (VR) interfaces for robots provide a three-dimensional (3D) view of the robot in its environment, which allows people to better plan complex robot movements in tigh…

cs.RO20212 cited

Implementing Virtual Reality for Teleoperation of a Humanoid Robot

Jordan Allspaw, Gregory LeMasurier, Holly Yanco

Our research explores the potential of a humanoid robot for work in unpredictable environments, but controlling a humanoid robot remains a very difficult problem. In our previous w…

cs.RO20205 cited

Projection Mapping Implementation: Enabling Direct Externalization of Perception Results and Action Intent to Improve Robot Explainability

Zhao Han, Alexander Wilkinson, Jenna Parrillo +2

Existing research on non-verbal cues, e.g., eye gaze or arm movement, may not accurately present a robot's internal states such as perception results and action intent. Projecting…

cs.RO2020

Towards Mobile Multi-Task Manipulation in a Confined and Integrated Environment with Irregular Objects

Zhao Han, Jordan Allspaw, Gregory LeMasurier +4

The FetchIt! Mobile Manipulation Challenge, held at the IEEE International Conference on Robots and Automation (ICRA) in May 2019, offered an environment with complex and integrate…

cs.RO2019

Towards A Robot Explanation System: A Survey and Our Approach to State Summarization, Storage and Querying, and Human Interface

Zhao Han, Jordan Allspaw, Adam Norton +1

As robot systems become more ubiquitous, developing understandable robot systems becomes increasingly important in order to build trust. In this paper, we present an approach to de…