Project: Collaborative Motion Planning of Autonomous Mobile Robots and Cobots in Industry 4.0
With versatile advantages, Cobots and autonomous mobile robots (AMRs) are finding itself as a critical component in the manufacturing industry to bring down CoP (Cost of operation), boost overall efficiency and productivity. A high amount of flexibility is seen by incorporating "the Human and the Robots" together in the manufacturing industry. Objective is to study human collaborative task planning solutions for autonomous robots in structured and dynamic manufacturing environment. Some popular motion planning solutions like Rapidly exploring Random Tree [RRT] algorithm, Vector Field Histogram [VFH] techniques etc. are compared during Cobot manipulation and AMR navigation in such environments with human presence. Multi-agent motion planning solutions like leader follower and multi-robot collision avoidance solutions are being tested. Performance of the motion planning algorithm was measured using merits of obstacle detection & avoidance. Novel planning and control methods are proposed to improve the robot navigation targeting least on-board energy for travelling from the start to finish point without affecting operational time.
M J Niegil Francis, Mayank Navneet Mehta, Abhra Roy Chowdhury, “Safe Velocity-Scaling for Human-Robot Collaboration Using BCI Based Cognitive Load” Technical Research Poster, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), in Prague, Czech Republic, Sep 2021
Abhra Roy Chowdhury et. al, "Interlinking Industry 4.0 and Academia through Robotics and Automation: An Indian Perspective", Chapter 5, Convergence of Digitalization on 5G Edge AI Computing, Intech Journal, Pages. 1 -13, 2020.
Prajwal Prabhu, Abhra Roy Chowdhury, “Feasibility Study of Multi Autonomous Mobile Robots (AMRs) Motion Planning in Smart Warehouse Environment”, 18th International Conference on Ubiquitous Robots (UR), July 12-14, 2021, Gangneung-si, Gangwon-do, Korea.
Aiswarya R., Abhra Roy Chowdhury, “Human Aware Robot Motion Planning using RRT Algorithm in Industry4.0 Environment", IEEE International Conference on Intelligence and Safety for Robotics, Nagoya, Japan, March 4-6, 2021
Tharun V., Abhra Roy Chowdhury, "Application of Mobile Collaborative Robot using Deep Learning in Precision Weed Control of Large Farms", Big Data Analytics in Agriculture: Algorithms and Applications, Academic Press, Elsevier 2021 (Accepted)
Efficient Path Planning and Collision Avoidance for Robotic ArmsClick here.
Improving Warehouse Productivity with Autonomous Mobile Robots Click here.