Dan Reznik

University of California, Berkeley, University of Wisconsin–Madison

Papers

Total Citations

H-Index

About

Dan Reznik’s research career bridges two compelling frontiers: the biomechanics of soft robotics and the autonomous planning of hyper-redundant, snake-like manipulators. In his most cited work, “Dynamic simulation and virtual control of a deformable fingertip” (2002, 31 citations), Reznik introduced an efficient computational model that discretizes a fingertip’s volume into a lattice of masses interconnected by damped springs. This approach enabled realistic simulation of deformation and tactile interaction—a foundational contribution to soft robotics and haptic feedback systems. Earlier, in “Sensor-based motion planning in three dimensions for a highly redundant snake robot” (1994, 30 citations), he pioneered a real-time strategy for navigating a serpentine robot with dozens of links through unknown, obstacle-filled 3D environments. This work, along with his follow-up study on motion planning under uncertainty (2005, 14 citations), established key principles for snake-like robots operating with incomplete sensor data. Reznik’s contributions are notable for their foresight: his models anticipated today’s interest in compliant manipulation and hyper-redundant exploration robots. Though his citation counts are modest, his ideas have influenced subsequent research in deformable object simulation and snake robot autonomy.