Advances in Autonomous Mobility and Route Optimization

The field of autonomous mobility and route optimization is rapidly evolving, with a focus on improving the efficiency and safety of various transportation systems. Recent developments have centered around enhancing the navigation and control of wheelchairs, two-wheeled vehicles, and sidewalk delivery robots. Innovations in shared control navigation, perception, planning, and control systems are being explored to address the unique challenges posed by these vehicles. Furthermore, researchers are investigating the application of robust route planning and optimization techniques to mitigate the impact of uncertain travel times and environmental conditions on the efficiency of sidewalk delivery robots. The use of sidewalk robots as mobile data collection platforms is also being explored, enabling the scalable and automated collection of walkability-related data. Noteworthy papers include:

  • A study on the CoNav Chair, which introduces a shared control navigation system for wheelchairs, demonstrating improved navigational efficiency and safety.
  • A review of perception, planning, and control in intelligent two-wheeled vehicles, highlighting critical gaps in current research and promising directions for future development.
  • A method for quantifying the improvement of accessibility achieved via shared mobility on demand, using isochrone-based accessibility indicators and spatial-temporal statistical analysis.

Sources

Approximation Algorithms for the Cumulative Vehicle Routing Problem with Stochastic Demands

CoNav Chair: Development and Evaluation of a Shared Control based Wheelchair for the Built Environment

Towards Autonomous Riding: A Review of Perception, Planning, and Control in Intelligent Two-Wheelers

Robust Route Planning for Sidewalk Delivery Robots

Leveraging Sidewalk Robots for Walkability-Related Analyses

Quantifying the Improvement of Accessibility achieved via Shared Mobility on Demand

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