TY - GEN
T1 - Supporting Explainable Planning and Human-Aware Mission Specification for Underwater Robots
AU - Lindsay, Alan
AU - Ramírez-Duque, Andrés A.
AU - Craenen, Bart
AU - Munafò, Andrea
AU - Boé, Laurence
AU - Campbell, Adam
AU - Petrick, Ronald P. A.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The problem of effectively supporting human operators as they model missions, supervise their plans, and observe execution, combines several open questions in human-aware planning. These include how to provide support during the mission modelling and specification phase, and how to provide effective assistance during the planning phase. In this paper, we present ongoing work to create a tool for human operators, which aims to support effective interactions and improve operator understanding and awareness throughout autonomous underwater vehicle missions. We present an architecture which incorporates modelling assistance, plan generation, explanation, and plan space exploration. Our approach starts with a task-bot interface that provides modelling assistance during the mission specification step and comprehensible plan explanations during planning, while supporting the operator in exploring the plan space. In addition, we present an example walkthrough to showcase the human-machine interaction and explanation representations.
AB - The problem of effectively supporting human operators as they model missions, supervise their plans, and observe execution, combines several open questions in human-aware planning. These include how to provide support during the mission modelling and specification phase, and how to provide effective assistance during the planning phase. In this paper, we present ongoing work to create a tool for human operators, which aims to support effective interactions and improve operator understanding and awareness throughout autonomous underwater vehicle missions. We present an architecture which incorporates modelling assistance, plan generation, explanation, and plan space exploration. Our approach starts with a task-bot interface that provides modelling assistance during the mission specification step and comprehensible plan explanations during planning, while supporting the operator in exploring the plan space. In addition, we present an example walkthrough to showcase the human-machine interaction and explanation representations.
UR - http://www.scopus.com/inward/record.url?scp=85215659106&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-72059-8_3
DO - 10.1007/978-3-031-72059-8_3
M3 - Conference contribution
AN - SCOPUS:85215659106
SN - 9783031720581
T3 - Lecture Notes in Computer Science
SP - 28
EP - 40
BT - Towards Autonomous Robotic Systems. TAROS 2024
A2 - Huda, M. Nazmul
A2 - Wang, Mingfeng
A2 - Kalganova, Tatiana
PB - Springer
T2 - 25th Annual Conference on Towards Autonomous Robotic Systems 2024
Y2 - 21 August 2024 through 23 August 2024
ER -