A Fast Method for Explanations of Failures in Optimization-Based Robot Motion Planning

Eder, Matthias; Steinbauer-Wagner, Gerald

doi:10.1007/978-3-031-04870-8_14

Cited by 2 publications

(1 citation statement)

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“…As a first step to improve the HRI, a fast method to provide detailed explanations of failures in robot motion planning was proposed in [27]. By identifying failures origin from planning constraints, possible failure explanations can be provided in logarithmic time, also for large constraint sets.…”

Section: Current Work and Future Plansmentioning

confidence: 99%

Enabling and Assessing Trust when Cooperating with Robots in Disaster Response (EASIER)

Frering¹,

Eder²,

Kubicek³

et al. 2022

Preprint

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This paper presents a conceptual overview of the EASIER project and its scope. EASIER focuses on supporting emergency forces in disaster response scenarios with a semiautonomous mobile manipulator. Specifically, we examine the operator's trust in the system and his/her cognitive load generated by its use. We plan to address different research topics, exploring how shared autonomy, interaction design, and transparency relate to trust and cognitive load. Another goal is to develop non-invasive methods to continuously measure trust and cognitive load in the context of disaster response using a multilevel approach. This project is conducted by multiple academic partners specializing in artificial intelligence, interaction design, and psychology, as well as an industrial partner for disaster response equipment and end-users for framing the project and the experiments in real use-cases.

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Section: Current Work and Future Plansmentioning

confidence: 99%