Pedro Tavares
Papers
9
Total Citations
184
H-Index
6
About
Pedro Tavares is a robotics researcher whose work sits at the intersection of industrial automation, path planning, and construction technology. His research focuses on developing intelligent robotic systems for manufacturing, with particular emphasis on welding automation, multi-manipulator coordination, and the integration of Building Information Modeling (BIM) with robotic fabrication. His most impactful contribution is the "Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality" (2019, 119 citations), which pioneered a novel approach combining digital twins with augmented reality to streamline robotic welding in steel fabrication. Tavares has also made significant advances in path planning algorithms, notably the "Double A*" method for multiple manipulators (2016, 21 citations), which optimizes collision-free trajectories in shared workspaces. His work on flexible pick-and-place architectures using the ROS framework (2015, 15 citations) has provided foundational tools for adaptable manufacturing cells. More recently, he has applied machine learning to optimize robotic welding parametrization (2021, 8 citations), addressing the complex physics of welding processes. Tavares's research has practical implications for the steel fabrication industry, where his BIM-integrated robotic systems promise to reduce programming time and improve welding quality in real-world production environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multiple manipulators path planning using double A*21 citations · 2016
- 3Flexible pick and place architecture using ROS framework15 citations · 2015
- 4Machine Learning Optimization for Robotic Welding Parametrization8 citations · 2021
- 5Double A* Path Planning for Industrial Manipulators8 citations · 2015
- 6
- 7
- 8Simulation of a System Architecture for Cooperative Robotic Cleaning2 citations · 2015
- 9BIM for the Steel Fabrication Industry Robotic Systems2 citations · 2017