Suction Cup Manipulation & Path Planning

This project involved an exploration of robotic manipulation using suction cups within an unknown environment. The primary focus areas were suction cup characterization and motion planning in unstructured spaces.

The research aimed to enhance robot dexterity and improve robot autonomy by developing algorithms that allow robots to operate effectively in dynamic, real-world scenarios where obstacles and unforeseen circumstances may be present.

This video demonstrates the investigation of suction cup manipulation and path planning algorithms in unstructured environments:

Research Outcomes

• Suction Cup Performance: Characterized adherence capabilities under varying environmental conditions, establishing baseline performance metrics for reliable object manipulation.
• Path Planning Algorithms: Developed strategies for robot navigation in unmapped environments, addressing challenges of reaching seemingly inaccessible configurations.
• Intermediary Checkpoint Navigation: Implemented solutions for robots to traverse through intermediary waypoints when direct paths are not available.
• Real-World Applications: Findings contribute to the development of more adaptable and versatile robots capable of functioning in dynamic, unstructured scenarios.

Impact on Robotics Field

This exploration provided valuable insights into the complexities of robotic manipulation and path planning in dynamic settings. The research contributes to advancing robot autonomy and adaptability in real-world applications where environmental conditions are unpredictable.