As the number of robots in our daily surroundings like home, office, restaurants, factory
floors, etc. are increasing rapidly, the development of natural human-robot interaction …

In this paper, we propose a novel integrated task planning system for service robots in
domestic domains. Given open-ended high-level user instructions in natural language …

We present KnoWDiaL, an approach for Learning and using task-relevant Knowledge from
human-robot Dialog and access to the Web. KnoWDiaL assumes that there is an …

A robot as a coworker or a cohabitant is becoming mainstream day-by-day with the
development of low-cost sophisticated hardware. However, an accompanying software stack …

Large Language Models (LLMs) possess extensive foundational knowledge and moderate
reasoning abilities, making them suitable for general task planning in open-world scenarios …

Understanding user instructions in natural language is an active research topic in AI and
robotics. Typically, natural user instructions are high-level and can be reduced into low-level …

Service robots need to reason to support people in daily life situations. Reasoning is an
expensive resource that should be used on demand whenever the expectations of the robot …

Motivated by enabling intelligent robots/agents to take advantage of open-source
knowledge resources to solve open-ended tasks, a weighted causal theory is introduced as …

The research goal of this thesis is to develop the conceptional foundations for a team of
autonomous robots that is capable of symbolically representing knowledge about the …

A lot of research work has been carried out on the smart city and its applications in last two
decades. Smart transportation is an application of smart city and also an important factor in …