Taiki Abe

Papers

Total Citations

H-Index

About

Taiki Abe is a robotics researcher specializing in industrial automation, with a focus on robotic manipulation of deformable materials and sensor-integrated grasping systems. His work addresses critical challenges in manufacturing, particularly in the textile and assembly industries. Abe's most cited paper (28 citations) introduces a versatile end-effector for pick-and-release of fabric parts used in underwear production, solving a longstanding difficulty in automating soft material handling. He further advanced this area with a robotic end-effector featuring a rolling-up mechanism for cotton sheets (6 citations), demonstrating innovative approaches to manipulating limp materials. In bin-picking, Abe developed a robust system combining tactile sensors with vision-based template matching (11 citations), enabling reliable detection of grasp success—a key step toward fully autonomous part handling. His work on assembly systems (7 citations) emphasizes quick, low-cost installation by minimizing tool changes and using only two hands, making automation more accessible for cell production. Through these contributions, Abe has established himself as a practical innovator in robotic end-effector design and sensor-driven manipulation, with direct applications in textile manufacturing and flexible assembly lines.