activity
20102026
most citedThe ORCA Hub: Explainable Offshore Robotics through Intelligent Interfaces

36 citations · 271 across the 74 of their papers we have counts for

collaborators
Showing 2020Show all

16 papers · 1 filter

cs.RO2020

Sparsity-Inducing Optimal Control via Differential Dynamic Programming

Traiko Dinev, Wolfgang Merkt, Vladimir Ivan +2

Optimal control is a popular approach to synthesize highly dynamic motion. Commonly, regularization is used on the control inputs in order to minimize energy used and to ensu…

cs.RO2020★ 2 cited

A Passive Navigation Planning Algorithm for Collision-free Control of Mobile Robots

Carlo Tiseo, Vladimir Ivan, Wolfgang Merkt +3

Path planning and collision avoidance are challenging in complex and highly variable environments due to the limited horizon of events. In literature, there are multiple model- and…

cs.RO2020★ 1 cited

Robust Footstep Planning and LQR Control for Dynamic Quadrupedal Locomotion

Guiyang Xin, Songyan Xin, Oguzhan Cebe +5

In this paper, we aim to improve the robustness of dynamic quadrupedal locomotion through two aspects: 1) fast model predictive foothold planning, and 2) applying LQR to projected…

cs.RO2020★ 2 cited

RigidFusion: Robot Localisation and Mapping in Environments with Large Dynamic Rigid Objects

Ran Long, Christian Rauch, Tianwei Zhang +2

This work presents a novel RGB-D SLAM approach to simultaneously segment, track and reconstruct the static background and large dynamic rigid objects that can occlude major portion…

cs.RO2020

Inverse Dynamics vs. Forward Dynamics in Direct Transcription Formulations for Trajectory Optimization

Henrique Ferrolho, Vladimir Ivan, Wolfgang Merkt +2

Benchmarks of state-of-the-art rigid-body dynamics libraries report better performance solving the inverse dynamics problem than the forward alternative. Those benchmarks encourage…

cs.RO2020

Memory Clustering using Persistent Homology for Multimodality- and Discontinuity-Sensitive Learning of Optimal Control Warm-starts

Wolfgang Merkt, Vladimir Ivan, Traiko Dinev +2

Shooting methods are an efficient approach to solving nonlinear optimal control problems. As they use local optimization, they exhibit favorable convergence when initialized with a…