Jamieson Schulte
Papers
5
Total Citations
163
H-Index
4
About
Jamieson Schulte is a pioneering researcher in human-robot interaction, with a focus on deploying autonomous systems in dynamic, public environments. His work centers on the design and evaluation of mobile robots that engage in short-term, spontaneous interactions with crowds—a critical challenge for service robots like information kiosks, receptionists, and tour guides. Schulte’s most influential contribution is his role in the development of MINERVA, a tour-guide robot that learns from its environment, detailed in a 1999 paper with 46 citations. He further advanced the field by comparing two deployed interactive tour-guide robots in a 1999 study (24 citations), offering foundational insights into real-world robotic performance. His 2003 paper on spontaneous interaction with crowds (68 citations) remains his most cited work, establishing key principles for robots operating in public spaces. Schulte also explored the impact of humanoid features on public acceptance in a 2000 case study (23 citations). Additionally, his 2001 work on heuristic search algorithms for Markov decision processes with hidden state (2 citations) addresses theoretical challenges in robotic decision-making under uncertainty. Schulte’s research bridges practical deployment and algorithmic innovation, shaping how robots navigate and interact with people in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1Spontaneous, short-term interaction with mobile robots68 citations · 2003
- 2MINERVA: A Tour-Guide Robot that Learns46 citations · 1999
- 3Experiences with two Deployed Interactive Tour-Guide Robots24 citations · 1999
- 4Robots With Humanoid Features in Public Places: A Case Study23 citations · 2000
- 5