activity
20222026
most citedGeometric Algebra for Optimal Control with Applications in Manipulation Tasks

17 citations · 21 across the 13 of their papers we have counts for

collaborators

13 papers

cs.RO2026

G-MAPP: GPU-accelerated Multi-Agent Planning and Perception for Reactive Motion Generation

Tanmay Bishnoi, Riddhiman Laha, Tobias Löw +3

Reactive motion generation in unstructured environments remains an open challenge in robotics. Due to the computational complexity of collision-free motion generation, existing met…

cs.RO2026

Curve-Induced Dynamical Systems on Riemannian Manifolds and Lie Groups

Saray Bakker, Martin Schonger, Tobias Löw +2

Deploying robots in household environments requires safe, adaptable, and interpretable behaviors that respect the geometric structure of tasks. Often represented on Lie groups and…

cs.RO2025

Cooperative Task Spaces for Multi-Arm Manipulation Control based on Similarity Transformations

Tobias Löw, Cem Bilaloglu, Sylvain Calinon

Many tasks in human environments require collaborative behavior between multiple kinematic chains, either to provide additional support for carrying big and bulky objects or to ena…

cs.RO2025

Efficient and Real-Time Motion Planning for Robotics Using Projection-Based Optimization

Xuemin Chi, Hakan Girgin, Tobias Löw +6

Generating motions for robots interacting with objects of various shapes is a complex challenge, further complicated by the robot geometry and multiple desired behaviors. While cur…

cs.RO2024

Diffusion-based Virtual Fixtures

Cem Bilaloglu, Tobias Löw, Sylvain Calinon

Virtual fixtures assist human operators in teleoperation settings by constraining their actions. This extended abstract introduces a novel virtual fixture formulation \emph{on surf…

cs.RO2024

Tactile Ergodic Coverage on Curved Surfaces

Cem Bilaloglu, Tobias Löw, Sylvain Calinon

In this article, we present a feedback control method for tactile coverage tasks, such as cleaning or surface inspection. These tasks are challenging to plan due to complex continu…

cs.RO2023★ 3 cited

Extending the Cooperative Dual-Task Space in Conformal Geometric Algebra

Tobias Löw, Sylvain Calinon

In this work, we are presenting an extension of the cooperative dual-task space (CDTS) in conformal geometric algebra. The CDTS was first defined using dual quaternion algebra and…

cs.RO2023

gafro: Geometric Algebra for Robotics

Tobias Löw, Philip Abbet, Sylvain Calinon

Geometry is a fundamental part of robotics and there have been various frameworks of representation over the years. Recently, geometric algebra has gained attention for its propert…

cs.RO2023

Geometric Projectors: Geometric Constraints based Optimization for Robot Behaviors

Xuemin Chi, Tobias Löw, Yiming Li +2

Generating motion for robots that interact with objects of various shapes is a complex challenge, further complicated when the robot's own geometry and multiple desired behaviors a…

cs.RO2023★ 1 cited

Projection-based first-order constrained optimization solver for robotics

Hakan Girgin, Tobias Löw, Teng Xue +1

Robot programming tools ranging from inverse kinematics (IK) to model predictive control (MPC) are most often described as constrained optimization problems. Even though there are…

cs.RO2023

Whole-Body Ergodic Exploration with a Manipulator Using Diffusion

Cem Bilaloglu, Tobias Löw, Sylvain Calinon

This paper presents a whole-body robot control method for exploring and probing a given region of interest. The ergodic control formalism behind such an exploration behavior consis…

cs.RO2022★ 17 cited

Geometric Algebra for Optimal Control with Applications in Manipulation Tasks

Tobias Löw, Sylvain Calinon

Many problems in robotics are fundamentally problems of geometry, which lead to an increased research effort in geometric methods for robotics in recent years. The results were alg…

cs.RO2022

Tensor Train for Global Optimization Problems in Robotics

Suhan Shetty, Teguh Lembono, Tobias Loew +1

The convergence of many numerical optimization techniques is highly dependent on the initial guess given to the solver. To address this issue, we propose a novel approach that util…