A robotic wayfinding system for the visually impaired
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Towards adjustable autonomy for the real world
Journal of Artificial Intelligence Research
Robots as interfaces to haptic and locomotor spaces
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Mobile Robots for an E-Mail Interface for People Who Are Blind
RoboCup 2006: Robot Soccer World Cup X
Locawe: a novel platform for location-aware multimedia services
Proceedings of the 7th International Conference on Mobile and Ubiquitous Multimedia
Remote navigation of a mobile robot in an RFID-augmented environment
Personal and Ubiquitous Computing
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Assessment and design frameworks for human-robot teams attempt to maximize generality by covering a broad range of potential applications. In this paper, we argue that, in assistive robotics, the other side of generality is limited applicability: it is oftentimes more feasible to custom-design and evolve an application that alleviates a specific disability than to spend resources on figuring out how to customize an existing generic framework. We present a case study that shows how we used a pure bottom-up learn-through-deployment approach inspired by the principles of ergonomics-for-one to design, deploy and iteratively re-design a proof-of-concept robotic shopping cart for the blind.