119 citations · 593 across the 15 of their papers we have counts for
15 papers
STyMo: Fast and Controllable Few-Shot Motion Style Transfer
Jose Luis Ponton, Alexander Winkler, Ladislav Kavan +2
Supporting a wide variety of motion styles is critical for creating diverse virtual characters, but current methods either require large stylized datasets or pre-trained models tha…
Physics-based Motion Retargeting from Sparse Inputs
Daniele Reda, Jungdam Won, Yuting Ye +2
Avatars are important to create interactive and immersive experiences in virtual worlds. One challenge in animating these characters to mimic a user's motion is that commercial AR/…
QuestEnvSim: Environment-Aware Simulated Motion Tracking from Sparse Sensors
Sunmin Lee, Sebastian Starke, Yuting Ye +2
Replicating a user's pose from only wearable sensors is important for many AR/VR applications. Most existing methods for motion tracking avoid environment interaction apart from fo…
Perpetual Humanoid Control for Real-time Simulated Avatars
Zhengyi Luo, Jinkun Cao, Alexander Winkler +2
We present a physics-based humanoid controller that achieves high-fidelity motion imitation and fault-tolerant behavior in the presence of noisy input (e.g. pose estimates from vid…
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars
Alexander Winkler, Jungdam Won, Yuting Ye
Real-time tracking of human body motion is crucial for interactive and immersive experiences in AR/VR. However, very limited sensor data about the body is available from standalone…
Transformer Inertial Poser: Real-time Human Motion Reconstruction from Sparse IMUs with Simultaneous Terrain Generation
Yifeng Jiang, Yuting Ye, Deepak Gopinath +3
Real-time human motion reconstruction from a sparse set of (e.g. six) wearable IMUs provides a non-intrusive and economic approach to motion capture. Without the ability to acquire…
Planning and Execution of Dynamic Whole-Body Locomotion for a Hydraulic Quadruped on Challenging Terrain
Alexander W. Winkler, Carlos Mastalli, Ioannis Havoutis +3
We present a framework for dynamic quadrupedal locomotion over challenging terrain, where the choice of appropriate footholds is crucial for the success of the behaviour. We build…
On-line and on-board planning and perception for quadrupedal locomotion
Carlos Mastalli, Ioannis Havoutis, Alexander W. Winkler +2
We present a legged motion planning approach for quadrupedal locomotion over challenging terrain. We decompose the problem into body action planning and footstep planning. We use a…
Optimal and Learning Control for Autonomous Robots
Jonas Buchli, Farbod Farshidian, Alexander Winkler +2
Optimal and Learning Control for Autonomous Robots has been taught in the Robotics, Systems and Controls Masters at ETH Zurich with the aim to teach optimal control and reinforceme…
Fast Trajectory Optimization for Legged Robots using Vertex-based ZMP Constraints
Alexander W Winkler, Farbod Farshidian, Diego Pardo +2
This paper combines the fast Zero-Moment-Point (ZMP) approaches that work well in practice with the broader range of capabilities of a Trajectory Optimization formulation, by optim…
Robust Whole-Body Motion Control of Legged Robots
Farbod Farshidian, Edo Jelavić, Alexander W. Winkler +1
We introduce a robust control architecture for the whole-body motion control of torque controlled robots with arms and legs. The method is based on the robust control of contact fo…
An Efficient Optimal Planning and Control Framework For Quadrupedal Locomotion
Farbod Farshidian, Michael Neunert, Alexander W. Winkler +2
In this paper, we present an efficient Dynamic Programing framework for optimal planning and control of legged robots. First we formulate this problem as an optimal control problem…
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds
Michael Neunert, Farbod Farshidian, Alexander W. Winkler +1
In this work we present a trajectory Optimization framework for whole-body motion planning through contacts. We demonstrate how the proposed approach can be applied to automaticall…
Projection based whole body motion planning for legged robots
Diego Pardo, Michael Neunert, Alexander W. Winkler +1
In this paper we present a new approach for dynamic motion planning for legged robots. We formulate a trajectory optimization problem based on a compact form of the robot dynamics.…
Evaluating direct transcription and nonlinear optimization methods for robot motion planning
Diego Pardo, Lukas Möller, Michael Neunert +2
This paper studies existing direct transcription methods for trajectory optimization applied to robot motion planning. There are diverse alternatives for the implementation of dire…