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Motion Planning and Navigation in Dynamic Environments

With robots, be it mobile bases, quadrupeds, humanoids, or mobile manipulators, being deployed in unstructured and constantly changing environments, we focus on developing algorithms for online reactive motion planning and obstacle avoidance.

Physically-Consistent Parameter Identification of Robots in Contact

On the Use of Torque Measurement in Centroidal State Estimation

Fast Footstep Planning with Aborting A*

Capture Steps: Robust Walking for Humanoid Robots

Prediction Maps for Real-Time 3D Footstep Planning in Dynamic Environments

Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion

HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS

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khorshidi

Amani

Motion Planning and Navigation in Dynamic Environments

Physically-Consistent Parameter Identification of Robots in Contact

On the Use of Torque Measurement in Centroidal State Estimation

Fast Footstep Planning with Aborting A*

Capture Steps: Robust Walking for Humanoid Robots

Prediction Maps for Real-Time 3D Footstep Planning in Dynamic Environments

Centroidal State Estimation based on the Koopman Embedding for Dynamic Legged Locomotion

HyperDog: An Open-Source Quadruped Robot Platform Based on ROS2 and micro-ROS

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