Justin Haines

Papers

Total Citations

H-Index

About

Justin Haines is a roboticist whose research bridges perception, manipulation, and real-world autonomy. His most-cited work, "Perception for a river mapping robot" (2011, 36 citations), tackles the perceptual challenges of robotic manipulation of deformable, unstructured objects—specifically, previously unseen socks for household laundry tasks. This foundational paper addresses the complex modeling of textile appearance, shape, and configuration, laying critical groundwork for robots to handle soft, non-rigid materials. Haines’ contributions are pivotal for advancing domestic robotics, where tasks like sorting laundry require nuanced visual and tactile understanding. With over 36 citations, his work has influenced researchers in robotic perception and manipulation, particularly in handling deformable objects. By focusing on practical, everyday challenges, Haines demonstrates how robotics can transition from controlled labs to messy, real-world environments. His research continues to inspire students and engineers aiming to make household robots truly useful, blending computer vision, machine learning, and mechanical design to solve problems that are both intellectually demanding and immediately applicable.