Collision-Free Dynamic Window Approach for Moving Obstacles

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Image depicts admissible velocity identification of the agent through sampling-based mobility characterization of the moving obstacle

Invention Summary:

Within Dynamic window approach (DWA) systems, the agent lacks a mechanism that actively avoids collision when all its projected velocities are deemed inadmissible. While this passive approach ensures that the chosen velocities are collision-free, it may result in the agent coming to a complete stop if no admissible velocities are available, causing rear-end collisions. .

Rutgers researchers have developed an algorithm that introduces an active mechanism based on the mobility of moving obstacles within each control to avoid collisions. This method assesses the mobility of a moving obstacle by analyzing its translational acceleration and deceleration capabilities. Mobility of the obstacle within the upcoming control cycle is extended into a projected time, allowing for the identification of the admissible velocity of the agent at each control cycle. Collision-free results are demonstrated through two case studies including an open space navigation and a merging lane navigation through the comparisons with the DWA based on the trajectory prediction..

Market Applications:

• Autonomous wheelchair navigation
• Hands-free control for individuals with paralysis or quadriplegia
• Enhanced safety features for manual and powered wheelchairs
• Collision avoidance for moving robots in various industries
• Smart navigation for autonomous forklift trucks in warehouses and factories

Advantages:

• Reduced reliance on trajectory predictions
• Real-time adaptability
• Collision-free navigation
• Safety

Intellectual Property & Development Status: Patent pending. Available for licensing and/or research collaboration. Please contact marketingbd@research.rutgers.edu

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