1 citations · 1 across the 5 of their papers we have counts for
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Build on Priors: Vision--Language--Guided Neuro-Symbolic Imitation Learning for Data-Efficient Real-World Robot Manipulation
Pierrick Lorang, Johannes Huemer, Timothy Duggan +3
Enabling robots to learn long-horizon manipulation tasks from a handful of demonstrations remains a central challenge in robotics. Existing neuro-symbolic approaches often rely on…
A Collision-Free Sway Damping Model Predictive Controller for Safe and Reactive Forestry Crane Navigation
Marc-Philip Ecker, Christoph Fröhlich, Johannes Huemer +4
Forestry cranes operate in dynamic, unstructured outdoor environments where simultaneous collision avoidance and payload sway control are critical for safe navigation. Existing app…
Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and Acting
Pierrick Lorang, Hong Lu, Johannes Huemer +2
Imitation learning enables intelligent systems to acquire complex behaviors with minimal supervision. However, existing methods often focus on short-horizon skills, require large d…
Lang2Lift: A Language-Guided Autonomous Forklift System for Outdoor Industrial Pallet Handling
Huy Hoang Nguyen, Johannes Huemer, Markus Murschitz +3
Automating pallet handling in outdoor logistics and construction environments remains challenging due to unstructured scenes, variable pallet configurations, and changing environme…
ADAPT: An Autonomous Forklift for Construction Site Operation
Johannes Huemer, Markus Murschitz, Matthias Schörghuber +10
Efficient material logistics play a critical role in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies…