| Wheelchair users with severe disabilities can often navigate tight spaces better than most robotic systems can. A wave of new smart-wheelchair research, including findings presented in Anaheim, Calif., earlier this month, is now testing whether AI-powered systems can, or should, fully close this gap. Christian Mandel—senior researcher at the German Research Center for Artificial Intelligence (DFKI) in Bremen, Germany—co-led a research team together with his colleague Serge Autexier that developed prototype sensor-equipped electric wheelchairs designed to navigate a roomful of potential obstacles. The researchers also tested a new safety system that integrated sensor data from the wheelchair and from sensors in the room, including from drone-based color and depth cameras. Mandel says the team’s smart wheelchairs were both semiautonomous and autonomous. “Semiautonomous is the shared control system where the person sitting in the wheelchair uses the joystick to drive,” Mandel says. “Fully autonomous is controlled by natural-language input. You say, ‘Please drive me to the coffee machine.’ ” [link] [comments] |
AI-Powered Wheelchairs: Are They Ready for Real Life?
Reddit r/artificial / 3/21/2026
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Key Points
- Researchers from the German Research Center for Artificial Intelligence (DFKI) in Bremen and collaborators presented prototype sensor-equipped electric wheelchairs designed to navigate rooms with potential obstacles.
- The systems tested both semiautonomous (shared control with a joystick) and fully autonomous modes, the latter able to follow natural-language commands such as "Please drive me to the coffee machine."
- A safety layer combines data from wheelchair sensors with room sensors, including drone-based color and depth cameras, to improve obstacle detection and coordination.
- The work aims to close the gap between highly skilled wheelchair users and current robotic navigation in tight indoor spaces, though the technology is still in early testing.
- The research, presented in Anaheim, California, underscores ongoing validation efforts and safety considerations before real-life deployment.
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