Real-Time Predictive Kinematic Evaluation and Optimization for Biped Robots @AppliedMechanicsTUM
Real-Time Predictive Kinematic Evaluation and Optimization for Biped Robots  @AppliedMechanicsTUM
Uploaded November 2016 | Updated September 2026, 5 hours ago
Check out our publication:
mediatum.ub.tum.de/node?id=1335426

In this video, we show how our humanoid robot Lola models unexpected obstacles and avoids them in real time.
Each step, the following 6 steps are pre-calculated, and the 3D-motion of the robot is integrated to check for potential collisions with the environment.

Check out our open source repositories!
github.com/am-lola
Real-Time Predictive Kinematic Evaluation and Optimization for Biped RobotsCROPS 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 Kinematics
TUM Chair of Applied Mechanics |

Real-Time Predictive Kinematic Evaluation and Optimization for Biped Robots

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