Philipp Schillinger
Bosch
31 Papers
35 Citations
Philipp Schillinger is an academic researcher from Bosch. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 9, co-authored 25 publications. Previous affiliations of Philipp Schillinger include Technische Universität Darmstadt & Royal Institute of Technology.
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Papers
Simultaneous task allocation and planning for temporal logic goals in heterogeneous multi-robot systems
TL;DR: The proposed framework avoids the need to compute a combinatorial number of possible assignment costs, where each computation itself requires solving a complex planning problem, and can improve computational efficiency compared with classical assignment solutions, in particular for on-demand missions where task costs are unknown in advance.
Decomposition of Finite LTL Specifications for Efficient Multi-agent Planning
Philipp Schillinger,Philipp Schillinger,Mathias Bürger,Dimos V. Dimarogonas +3 more
- 01 Jan 2018
TL;DR: This work proposes an automata-based approach to automatically identify possible decompositions of the LTL specification into sets of independently executable task specifications, which leads directly to the construction of a team model with significantly lower complexity than other representations constructed with conventional methods.
Reactive high-level behavior synthesis for an Atlas humanoid robot
Spyros Maniatopoulos,Philipp Schillinger,Vitchyr Pong,David C. Conner,Hadas Kress-Gazit +4 more
- 16 May 2016
TL;DR: This work presents an end-to-end approach for the automatic generation of code that implements high-level robot behaviors in a verifiably correct manner, including reaction to the possible failures of low-level actions.
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Collaborative Autonomy between High-level Behaviors and Human Operators for Remote Manipulation Tasks using Different Humanoid Robots
Alberto Romay,Stefan Kohlbrecher,Alexander Stumpf,Oskar vonźStryk,Spyros Maniatopoulos,Hadas Kress-Gazit,Philipp Schillinger,David C. Conner +7 more
TL;DR: The technical challenges faced and overcame during the efforts to allow the human operators to interact with the robotic system at a higher level of abstraction and share control authority with it are discussed.
31
Multi-objective search for optimal multi-robot planning with finite LTL specifications and resource constraints
Philipp Schillinger,Mathias Bürger,Dimos V. Dimarogonas +2 more
- 01 May 2017
TL;DR: An efficient approach to plan action sequences for a team of robots from a single finite LTL mission specification is presented and the resulting execution strategy is proven to solve the given mission with minimal team costs, e.g., with shortest execution time.