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About

Robert Haschke is a prominent robotics researcher whose work spans tactile sensing, robotic manipulation, motion planning, and human-robot interaction. Based at Bielefeld University, he has made significant contributions to enabling robots to perceive and interact with the physical world with greater dexterity and intelligence. Haschke's most influential work centers on tactile sensing technology, including a groundbreaking fabric-based flexible and stretchable tactile sensor (233 citations) and a highly sensitive 3D-shaped tactile sensor (73 citations), both addressing the fundamental challenge of giving robots a human-like sense of touch. His research into anthropomorphic grasping — demonstrated through multi-fingered robotic hands — has shaped how robots handle real-world objects, garnering 147 citations for his platform-portable grasping framework. His algorithm for real-time, jerk-limited trajectory planning (142 citations) has become a foundational reference for safe human-robot collaboration in dynamic environments. More recently, his MoveIt! Task Constructor framework (123 citations) has advanced task-level motion planning for complex manipulation sequences. Haschke has also explored robot learning from human instruction, deformable object manipulation, and tactile-driven slip detection. With over 1,000 cumulative citations, his diverse yet cohesive body of work has meaningfully advanced the field of intelligent robot manipulation.