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Martin Wermelinger

6 accepted papers

2021

Grasping and Object Reorientation for Autonomous Construction of Stone Structures

RA-L 2021

Building large and stable structures from highly irregular stones is among the most challenging construction tasks with excavators. In this letter, we present a method for grasp planning and object manipulation that enables the world's first autonomous assembly of a large-scale stone wall with an un

Cited by 18SourceScholar
2019

Contact-Implicit Trajectory Optimization for Dynamic Object Manipulation

IROS 2019poster

We present a reformulation of a contact-implicit optimization (CIO) approach that computes optimal trajectories for rigid-body systems in contact-rich settings. A hard-contact model is assumed, and the unilateral constraints are imposed in the form of complementarity conditions. Newton's impact law…

Cited by 49SourceScholar
2019

Data-Driven Model Predictive Control for Trajectory Tracking With a Robotic Arm

RA-L 2019

High-precision trajectory tracking is fundamental in robotic manipulation. While industrial robots address this through stiffness and high-performance hardware, compliant and cost-effective robots require advanced control to achieve accurate position tracking. In this letter, we present a model-base

Cited by 219SourceScholar
2017

Autonomous robotic stone stacking with online next best object target pose planning

ICRA 2017poster

Predominately, robotic construction is applied as prefabrication in structured indoor environments with standard building materials. Our work, on the other hand, focuses on utilizing irregular materials found on-site, such as rubble and rocks, for autonomous construction. We present a pipeline that…

Cited by 93SourceScholar
2016

Collaborative navigation for flying and walking robots

IROS 2016poster

Flying and walking robots can use their complementary features in terms of viewpoint and payload capability to the best in a heterogeneous team. To this end, we present our online collaborative navigation framework for unknown and challenging terrain. The method leverages the flying robot's onboard…

Cited by 62SourceScholar
2016

Navigation planning for legged robots in challenging terrain

IROS 2016poster

This paper presents a framework for planning safe and efficient paths for a legged robot in rough and unstructured terrain. The proposed approach allows to exploit the distinctive obstacle negotiation capabilities of legged robots, while keeping the complexity low enough to enable planning over cons…

Cited by 240SourceScholar