activity
20202026
most citedTowards High-Payload Admittance Control for Manual Guidance with Environmental Contact

41 citations · 42 across the 6 of their papers we have counts for

collaborators

8 papers

cs.CV2026

A Framework for Egocentric and Exocentric Procedural Understanding via Temporal Segmentation and Semantic Abstraction

Vivek Chavan, Jörg Krüger

Long-horizon ego/exo data contains rich procedural evidence, but are redundant, noisy, and costly to process or retain. We propose a compact framework that converts continuous mult…

cs.CV2025

Physical Annotation for Automated Optical Inspection: A Concept for In-Situ, Pointer-Based Training Data Generation

Oliver Krumpek, Oliver Heimann, Jörg Krüger

This paper introduces a novel physical annotation system designed to generate training data for automated optical inspection. The system uses pointer-based in-situ interaction to t…

cs.CV2024

On the Application of Egocentric Computer Vision to Industrial Scenarios

Vivek Chavan, Oliver Heimann, Jörg Krüger

Egocentric vision aims to capture and analyse the world from the first-person perspective. We explore the possibilities for egocentric wearable devices to improve and enhance indus…

cs.RO2022★ 41 cited

Towards High-Payload Admittance Control for Manual Guidance with Environmental Contact

Kevin Haninger, Marcel Radke, Axel Vick +1

Force control enables hands-on teaching and physical collaboration, with the potential to improve ergonomics and flexibility of automation. Established methods for the design of co…

cs.RO2021

Contact Information Flow and Design of Compliance

Kevin Haninger, Marcel Radke, Richard Hartisch +1

Identifying changes in contact during contact-rich manipulation can detect task state or errors, enabling improved robustness and autonomy. The ability to detect contact is affecte…

cs.LG2020

Towards Learning Controllable Representations of Physical Systems

Kevin Haninger, Raul Vicente Garcia, Joerg Krueger

Learned representations of dynamical systems reduce dimensionality, potentially supporting downstream reinforcement learning (RL). However, no established methods predict a represe…