Papers
2
Total Citations
11
H-Index
2
About
Carlo Wiesse is a robotics researcher whose work centers on advancing autonomous systems for industrial and construction applications. His primary contributions lie in task sensing, adaptive control, and the integration of mobile manipulators for precision tasks like indoor painting. In his most-cited paper, "Task Sensing and Adaptive Control for Mobile Manipulator in Indoor Painting Application" (2024, 9 citations), Wiesse addresses critical limitations in robotic painting—namely, inadequate precision and effectiveness on large-scale surfaces—by developing a system that combines real-time sensing with adaptive control to improve uniformity and accuracy. This work has direct implications for automating labor-intensive processes in construction and manufacturing. Additionally, his earlier paper, "b-it-bots: Our Approach for Autonomous Robotics in Industrial Environments" (2019, 2 citations), showcases his involvement in designing holistic robotic solutions for industrial settings, reflecting a commitment to practical, deployable automation. Wiesse’s research bridges the gap between theoretical robotics and real-world industrial needs, making him a notable figure in the field of autonomous manipulation and task-specific robotic control.
Research Focus
Key Achievements
Top Papers
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