Cognitive Systems and Robotics Intelligent Robotic wheelchair - Shared autonomy between human and the wheelchair The success of airplanes autopilots in reducing navigational complexity and improving safety explains the strong interest to introduce navigational assistance in other transportation means as well. However, implementing robotic navigation correction on a large scale also represents a potential safety risk for millions of users. For this reason, a thorough understanding of driver behaviour is imperative, besides pervasive environment perception. RADHAR proposes a framework to seamlessly fuse the inherently uncertain information from both environment perception and the driver’s steering signals by estimating the trajectory the robot should execute, and to adopt this fused information for safe navigation with a level of autonomy adjusted to the user’s capabilities and desires.
Field of science
- /natural sciences/computer and information sciences/artificial intelligence/machine learning/unsupervised learning
- /engineering and technology/electrical engineering, electronic engineering, information engineering/electronic engineering/sensors
Call for proposal
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Funding SchemeCP - Collaborative project (generic)
861 23 Timra