Lee Rudolph

About

Lee Rudolph is a robotics researcher whose work focuses on solving fundamental challenges in inverse kinematics (IK) and path planning for complex mechanical systems. His major contributions lie in developing novel geometric approaches to address the notoriously difficult nonlinear equations that arise in IK problems, particularly for serial chains with joint constraints. Rudolph’s most impactful work, "Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints" (2006), has garnered 28 citations and provides a framework that extends beyond robotics into fields like structural biology. He further advanced the field with his triangle-tree-based method for planar closed chains with revolute joints (2008, 22 citations), offering efficient path planning solutions for loop-closure systems. His 2006 paper on fully rotatable joints (12 citations) and 2013 work on convex polygonal loops (2 citations) round out his portfolio, demonstrating sustained engagement with geometric kinematics. Rudolph’s research is notable for its practical impact on robotics design and its interdisciplinary reach, making him a respected figure in the robotics community.

Research Focus

Key Achievements

Top Papers

1. 1
   Inverse Kinematics for a Serial Chain with Joints Under Distance Constraints.

   28 citations · 2006
2. 2
   Convexly Stratified Deformation Spaces and Efficient Path Planning for Planar Closed Chains with Revolute Joints

   22 citations · 2008
3. 3
   Inverse Kinematics for a Serial Chain with Fully Rotatable Joints

   12 citations · 2006
4. 4
   Configurations and Path Planning of Convex Planar Polygonal Loops

   2 citations · 2013

Key Collaborators

Contact & Links