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Continuum robotics

Continuum robot laboratory setup with fiducial markers and an end-effector gripperResearch

Ongoing · WPI MER Laboratory

Mapping actuation to shape and motion

Research into how tendon actuation maps to the motion and force capabilities of soft continuum robots, accounting for nonlinear behavior and model uncertainty.

PythonNumPy / SciPyKinematicsJacobiansComputer vision

System architecture

  1. 01Tendon lengths
  2. 02Constant-curvature shape
  3. 03Cartesian backbone
  4. 04Manipulability
01

Kinematic modeling

At WPI's Manipulation and Environmental Robotics Laboratory, I am developing Python simulations for single- and multi-section forward kinematics. The modeling approach maps tendon lengths to piecewise constant-curvature shape and then to the Cartesian backbone.

02

Differential motion

I am deriving Jacobians between actuator, shape, and Cartesian spaces to characterize manipulability: the relationship between tendon actuation and achievable motion and force.

03

Visual feedback & experimental learning

Current work includes studying computer vision and image-based visual servoing for full-body shape feedback, and investigating manipulability ellipsoids learned from experimental data. These are ongoing research directions, not claims of a completed validated control system.