12 citations · 16 across the 8 of their papers we have counts for
10 papers · 1 filter
Autonomous Dual-Arm Manipulation of Familiar Objects
Dmytro Pavlichenko, Diego Rodriguez, Max Schwarz +3
Autonomous dual-arm manipulation is an essential skill to deploy robots in unstructured scenarios. However, this is a challenging undertaking, particularly in terms of perception a…
NimbRo Rescue: Solving Disaster-Response Tasks through Mobile Manipulation Robot Momaro
Max Schwarz, Tobias Rodehutskors, David Droeschel +10
Robots that solve complex tasks in environments too dangerous for humans to enter are desperately needed, e.g. for search and rescue applications. We describe our mobile manipulati…
Robust 6D Object Pose Estimation in Cluttered Scenes using Semantic Segmentation and Pose Regression Networks
Arul Selvam Periyasamy, Max Schwarz, Sven Behnke
Object pose estimation is a crucial prerequisite for robots to perform autonomous manipulation in clutter. Real-world bin-picking settings such as warehouses present additional cha…
Team NimbRo at MBZIRC 2017: Autonomous Valve Stem Turning using a Wrench
Max Schwarz, David Droeschel, Christian Lenz +7
The Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2017 has defined ambitious new benchmarks to advance the state-of-the-art in autonomous operation of ground-based an…
Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing
Max Schwarz, Christian Lenz, Germán Martín García +4
Robotic picking from cluttered bins is a demanding task, for which Amazon Robotics holds challenges. The 2017 Amazon Robotics Challenge (ARC) required stowing items into a storage…
RGB-D Object Detection and Semantic Segmentation for Autonomous Manipulation in Clutter
Max Schwarz, Anton Milan, Arul Selvam Periyasamy +1
Autonomous robotic manipulation in clutter is challenging. A large variety of objects must be perceived in complex scenes, where they are partially occluded and embedded among many…