Timo Markert — accepted AI-conference papers

2025

Differential Six-Axis Force and Torque Measurement in a Prototype Robotic Surgical Instrument

Daniel Neykov, Timo Markert, Niklas Hellinger, Andreas Theissler, Martin Atzmueller, Sebastian Matich

IROS 2025

In robot-assisted minimally invasive surgery (RMIS), the absence of haptic feedback presents a significant challenge for surgeons in accurately gauging the forces applied during procedures. However, obtaining precise force/torque (F/T) information at the surgical site is challenging. One key obstacl

Cited by 0 Source ↗Scholar ↗

2024

Ontology Based AI Planning and Scheduling for Robotic Assembly

Jingyun Zhao, Birgit Vogel-Heuser, Jicong Ao, Yansong Wu, Liding Zhang, Fandi Hartl +8

IROS 2024poster

The rising demand for customized products necessitates the integration of multiple robotic systems, underscoring the need for advanced production planning and scheduling. This paper introduces an ontology-based, artificial intelligence-enhanced method for dynamic task planning and scheduling, aimed…

Cited by 1 Source ↗Scholar ↗

2022

Comparing Human Haptic Perception and Robotic Force/Torque Sensing in a Simulated Surgical Palpation Task

Timo Markert, Sebastian Matich, Elias Hoerner, Jonas Pfannes, Andreas Theissler, Martin Atzmueller

IROS 2022

In minimally invasive surgery (MIS), the reliable detection of hard inclusions in soft tissue is crucial for the success of the intervention. In robot-assisted surgery (RAS) however, limited technologies are available for intracorporeal tissue stiffness assessment due to the lack of force and tactil

Cited by 5 Source ↗Scholar ↗