CROPS Manipulator (Generation 1) - Predictive Online Inverse Kinematics @AppliedMechanicsTUM
CROPS Manipulator (Generation 1) - Predictive Online Inverse Kinematics  @AppliedMechanicsTUM
Uploaded March 2015 | Updated September 2026, 1 day ago
Predictive Online Inverse Kinematics Algorithm for Redundant Manipulators. The video shows 4 scenes related to the proposed approach:

#1: Simulation of a linear movement of a planar 4-DOF pendulum. While the local inverse kinematics approach (black robot) avoids the obstacle only locally, the MPC approach (blue robot) chooses within the moving horizon a better configuration in advance.

#2: Simulation of the 9-DOF CROPS harvesting robot approaching a fruit. The transparent robot (local inverse kinematics) has clearly higher velocity peaks (watch e.g. the prismatic joint), while the motion of the blue robot (MPC approach) shows smoother motions.

#3: Simulation of a self-collision scenario for the 9-DOF harvesting robot.

#4: Real-Time application of the proposed approach for the 9-DOF manipulator in a self-collision scenario.

(2014)
CROPS Manipulator (Generation 1) - Predictive Online Inverse KinematicsALE-Beam Model: Reference/Shifting Motion for a CVTThe Application of Neural Networks for Fidelity Assessment of Real-Time Hybrid Substructuring (RTHS)Humanoid Robot LOLA walks over an unexpected platformJoint project advances prosthetic evaluationAdaptive Motion Planning with Tactile Feedback on the CROPS platformHumanoid Robot LOLA at the Hannover Fair 2010A Mobile Dual-Arm System That Makes Intralogistics More EfficientOur Humanoid Robot LOLA pre-simulates motions to better walk over complicated terrainTeleoperation with an Agricultural Robot - collision and joint limit avoidanceHierarchical Control of First-Order Differential KinematicsCROPS Manipulator (Generation 2) picking sweet-pepper in greenhouse
TUM Chair of Applied Mechanics |

CROPS Manipulator (Generation 1) - Predictive Online Inverse Kinematics

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