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Johannes Englsberger

17 accepted papers

2026

Centroidal Angular Momentum-Aware Planning for Legged Locomotion Integrating 3D-DCM and Swing-Leg Trajectory Optimization

RA-L 2026

In humanoid motion planning, centroidal angular momentum (CAM) is often neglected or simplified due to the complexity arising from its nonlinear and non-holonomic nature. As a result, unmodeled CAM effects can compromise center of pressure (CoP) tracking and, consequently, reduce robustness during m

Cited by 0SourceScholar
2025

Angular Divergent Component of Motion: A Step Towards Planning Spatial DCM Objectives for Legged Robots

ICRA 2025

In this work, the Divergent Component of Motion (DCM) method is expanded to include angular coordinates for the first time. This work introduces the idea of spatial DCM, which adds an angular objective to the existing linear DCM theory. To incorporate the angular component into the framework, a disc

Cited by 1SourceScholar
2025

Realtime Limb Trajectory Optimization for Humanoid Running Through Centroidal Angular Momentum Dynamics

ICRA 2025

One of the essential aspects of humanoid robot running is determining the limb-swinging trajectories. During the flight phases, where the ground reaction forces are not available for regulation, the limb swinging trajectories are significant for the stability of the next stance phase. Due to the con

Cited by 5SourceScholar
2023

Whole Body Control Formulation for Humanoid Robots with Closed/Parallel Kinematic Chains: Kangaroo Case Study

IROS 2023poster

This study extends the whole-body control (WBC) formulation for bipedal humanoid robots that include closed (parallel) kinematic chains in their structure. Along with general formulation, we also stress the implementation of this formulation on Kangaroo, which is a highly dynamic humanoid robot deve…

Cited by 8SourceScholar
2022

Online Learning of Centroidal Angular Momentum towards Enhancing DCM-based Locomotion

ICRA 2022poster

Gait generation frameworks for humanoid robots typically assume a constant centroidal angular momentum (CAM) throughout the walking cycle, which induces undesirable contact torques in the feet and results in performance degradation. In this work, we present a novel algorithm to learn the CAM online…

Cited by 10SourceScholar
2022

Planning Natural Locomotion for Articulated Soft Quadrupeds

ICRA 2022poster

Embedding elastic elements into legged robots through mechanical design enables highly efficient oscillating patterns that resemble natural gaits. However, current trajectory planning techniques miss the opportunity of taking advantage of these natural motions. This work proposes a locomotion planni…

Cited by 10SourceScholar
2021

Online Centroidal Angular Momentum Reference Generation and Motion Optimization for Humanoid Push Recovery

RA-L 2021

This letter presents a new push recovery algorithm for humanoid robots in balancing scenarios by exploiting the system's rotational dynamics. The proposed framework actively generates centroidal angular momentum (CAM) references based on the force magnitude and direction of the push to counteract th

Cited by 28SourceScholar
2021

Online DCM Trajectory Adaptation for Push and Stumble Recovery during Humanoid Locomotion

ICRA 2021poster

In this paper, we present a highly efficient Divergent Component of Motion (DCM) reference trajectory generator capable of adapting online to large perturbations acting on the center-of-mass (push recovery) and on the swing foot (stumble recovery). For push recovery, we propose an analytic solution…

Cited by 19SourceScholar
2020

MPTC – Modular Passive Tracking Controller for stack of tasks based control frameworks

RSS 2020poster

This work introduces the so-called Modular Passive Tracking Controller (MPTC), a generic passivity-based controller, which aims at independently fulfilling several subtask objectives. These are combined in a stack of tasks (SoT) that serves as a basis for the synthesis of an overall system controlle…

Cited by 16SourcePDFScholar
2019

Sensitivity of Legged Balance Control to Uncertainties and Sampling Period

RA-L 2019

We propose to quantify the effect of sensor and actuator uncertainties on the control of the center of mass and center of pressure in legged robots, since this is central for maintaining their balance with a limited support polygon. Our approach is based on robust control theory, considering uncerta

Cited by 14SourceScholar
2018

Convex Properties of Center-of-Mass Trajectories for Locomotion Based on Divergent Component of Motion

RA-L 2018

This letter presents an in-depth analysis of the convex properties of center-of-mass (CoM) trajectories for legged robot locomotion based on the concept of Divergent Component of Motion (DCM). In particular, we show that the union of all possible trajectories forms a bounded convex set under appropr

Cited by 27SourceScholar
2018

Inclusion of Angular Momentum During Planning for Capture Point Based Walking

ICRA 2018poster

When walking at high speeds, the swing legs of robots produce a non-negligible angular momentum rate. To accommodate this, we provide a reference trajectory generator for bipedal walking that incorporates predicted centroidal angular momentum at the planning stage. This can be done efficiently as th…

Cited by 30SourceScholar
2018

Torque-Based Dynamic Walking - A Long Way from Simulation to Experiment

ICRA 2018poster

This paper presents methods that facilitate the implementation of dynamic walking on torque-controlled robots in real world experiments. The work uses the Divergent Component of Motion (DCM) for walking trajectory generation and control. The DCM controller is embedded into a whole-body controller (W…

Cited by 52SourceScholar
2017

Dynamic multi-contact transitions for humanoid robots using Divergent Component of Motion

ICRA 2017poster

This paper presents a new method for planning and controlling dynamic multi-contact motions for humanoid robots. Our motion planner takes a sequence of multi-contact stances and generates closed-form reference trajectories for the robot center of mass (CoM) position, velocity, and acceleration, base…

Cited by 17SourceScholar
2017

Smooth trajectory generation and push-recovery based on Divergent Component of Motion

IROS 2017poster

This paper presents a novel multi-step closed-form walking trajectory generator based on the concept of Divergent Component of Motion (DCM) that guarantees smoothness of all resulting reference trajectories. Further, we introduce an analytical method for footstep adjustment to recover from strong di…

Cited by 58SourceScholar
2015

Biologically Inspired Dead-beat controller for bipedal running in 3D

IROS 2015poster

This paper introduces a Biologically Inspired Dead-beat (BID) controller for bipedal running in 3D. The controller runs in real-time, is extremely robust against perturbations and allows for versatile running patterns. It is based on the encoding of leg forces and CoM trajectories during stance as p…

Cited by 12SourceScholar