Transparent role assignment and task allocation in human robot collaboration
Collaborative robots represent a clear added value to manufacturing, as they promise to
increase productivity and improve working conditions of such environments. Although …
increase productivity and improve working conditions of such environments. Although …
Grounding robot plans from natural language instructions with incomplete world knowledge
Our goal is to enable robots to interpret and execute high-level tasks conveyed using natural
language instructions. For example, consider tasking a household robot to,“prepare my …
language instructions. For example, consider tasking a household robot to,“prepare my …
The role of adaptation in collective human–AI teaming
This paper explores a framework for defining artificial intelligence (AI) that adapts to
individuals within a group, and discusses the technical challenges for collaborative AI …
individuals within a group, and discusses the technical challenges for collaborative AI …
Enabling robots to understand indirect speech acts in task-based interactions
An important open problem for enabling truly taskable robots is the lack of task-general
natural language mechanisms within cognitive robot architectures that enable robots to …
natural language mechanisms within cognitive robot architectures that enable robots to …
Collaborative human-autonomy semantic sensing through structured POMDP planning
Autonomous unmanned systems and robots must be able to actively leverage all available
information sources—including imprecise but readily available semantic observations …
information sources—including imprecise but readily available semantic observations …
[HTML][HTML] Monte Carlo Tree Search for online decision making in smart industrial production
This paper considers the issue of rapid automated decision making in changing factory
environments, situations including human-robot collaboration, mass customisation and the …
environments, situations including human-robot collaboration, mass customisation and the …
The HRC model set for human-robot collaboration research
In this paper, we present a model set for designing human-robot collaboration (HRC)
experiments. It targets a common scenario in HRC, which is the collaborative assembly of …
experiments. It targets a common scenario in HRC, which is the collaborative assembly of …
Pomdp model learning for human robot collaboration
Recent years have seen human-robot collaboration (HRC) quickly emerged as a hot
research area at the intersection of control, robotics, and psychology. While most of the …
research area at the intersection of control, robotics, and psychology. While most of the …
Episodic memory-based robotic planning under uncertainty
D Liu, M Cong, Y Du - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
This paper presents a robotic behavior planning method under uncertainty based on biology-
inspired episodic memory. Adaptive behavior planning, prediction and reasoning are …
inspired episodic memory. Adaptive behavior planning, prediction and reasoning are …
The Multiple Uses of Monte-Carlo Tree Search
Modern production processes are continuing to move towards more flexible and dynamic
conditions, most clearly exemplified by mass customization, but this flexibility can also be …
conditions, most clearly exemplified by mass customization, but this flexibility can also be …