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Kai Pfeiffer

7 accepted papers

2026

Integrated Hierarchical Decision-Making in Inverse Kinematic Planning and Control

RSS 2026poster

This work presents a novel and efficient non-linear programming framework that tightly integrates hierarchical decision-making with inverse kinematic planning and control. Decision-making plays a central role in many aspects of robotics, from sparse inverse kinematic control with a minimal number of…

Cited by 0SourceScholar
2023

Monte-Carlo Tree Search with Prioritized Node Expansion for Multi-Goal Task Planning

IROS 2023poster

Symbolic task planning for robots is computationally challenging due to the combinatorial complexity of the possible action space. This fact is amplified if there are several sub-goals to be achieved due to the increased length of the action sequences. In this work, we propose a multi-goal symbolic…

Cited by 1SourceScholar
2023

Path Planning Under Uncertainty to Localize mmWave Sources

ICRA 2023poster

In this paper, we study a navigation problem where a mobile robot needs to locate a mmWave wireless signal. Using the directionality properties of the signal, we propose an estimation and path planning algorithm that can efficiently navigate in cluttered indoor environments. We formulate Extended Ka…

Cited by 6SourceScholar
2020

Enabling Remote Whole-Body Control with 5G Edge Computing

IROS 2020poster

Real-world applications require light-weight, energy-efficient, fully autonomous robots. Yet, increasing autonomy is oftentimes synonymous with escalating computational requirements. It might thus be desirable to offload intensive computation—not only sensing and planning, but also low-level whole-b…

Cited by 16SourceScholar
2018

Singularity Resolution in Equality and Inequality Constrained Hierarchical Task-Space Control by Adaptive Nonlinear Least Squares

RA-L 2018

We propose a robust method to handle kinematic and algorithmic singularities of any kinematically redundant robot under task-space hierarchical control with ordered equalities and inequalities. Our main idea is to exploit a second order model of the nonlinear kinematic function, in the sense of the

Cited by 14SourceScholar