Papers
8
Total Citations
141
H-Index
4
About
Takashi Hashimoto is a pioneering researcher at the intersection of social robotics, swarm intelligence, and artificial moral agency. His work centers on understanding how intelligent systems—both biological and artificial—can communicate, cooperate, and coexist. Hashimoto is best known for developing SIGVerse, a simulator platform for social interaction that has garnered 56 citations and provides a critical testbed for studying the emergence of intelligence through physical and social engagement. He has also made foundational contributions to swarm robotics, particularly through his work on pheromone-field communication for multi-robot systems (53 citations), drawing inspiration from ant foraging behavior to create reliable, decentralized coordination methods. More recently, Hashimoto has explored the ethical dimensions of robotics, asking whether morality can be ascribed to machines—a question that bridges cognitive science, ontology, and normative ethics. His interdisciplinary approach extends to human-robot interaction, including the development of WAS-X, an anthropomorphic saxophonist robot. With a career spanning biologically inspired algorithms, lattice computing, and the philosophical grounding of robotic agency, Hashimoto’s work continues to shape how we design robots that are not only intelligent but socially and ethically aware.
Research Focus
Key Achievements
Top Papers
- 1
- 2Communication using pheromone field for multiple robots53 citations · 2008
- 3
- 4
- 5Can Morality Be Ascribed to Robot?4 citations · 2019
- 6Development of Multi-robots Communicating by Pheromone Trail4 citations · 2009
- 7Reciprocal Ascription of Intentions Realized in Robot-human Interaction2 citations · 2013
- 8