2 citations · 2 across the 3 of their papers we have counts for
5 papers
REAP: Learning General Rearrangement Heuristics from Motion-Planner Feedback
Daniel Swoboda, Hector Geffner
Robotic rearrangement tasks require planning sequences of actions that fulfill high-level specifications while also being geometrically feasible. Symbolic abstractions make the com…
WorkBenchMark: A LEGO-Based Assembly Benchmark with an Assembly-by-Disassembly Baseline for the Smart Manufacturing League
Wenbo Ma, Daniel Swoboda, Matteo Tschesche +1
We introduceWorkBenchMark, a LEGO Duplo-based robotic assembly benchmark motivated by the RoboCup Smart Manufacturing League. Robotic assembly couples low-level manipulation with t…
Making Robots Play by the Rules: The ROS 2 CLIPS-Executive
Tarik Viehmann, Daniel Swoboda, Samridhi Kalra +2
CLIPS is a rule-based programming language for building knowledge-driven applications, well suited for the complex task of coordinating autonomous robots. Inspired by the CLIPS-Exe…
From Production Logistics to Smart Manufacturing: The Vision for a New RoboCup Industrial League
Supun Dissanayaka, Alexander Ferrein, Till Hofmann +8
The RoboCup Logistics League is a RoboCup competition in a smart factory scenario that has focused on task planning, job scheduling, and multi-agent coordination. The focus on prod…
Towards Using Promises for Multi-Agent Cooperation in Goal Reasoning
Daniel Swoboda, Till Hofmann, Tarik Viehmann +1
Reasoning and planning for mobile robots is a challenging problem, as the world evolves over time and thus the robot's goals may change. One technique to tackle this problem is goa…