activity
20132023
most citedEfficient Continuous-Time SLAM for 3D Lidar-Based Online Mapping

194 citations · 1.5k across the 123 of their papers we have counts for

collaborators

150 papers

cs.RO2023

NimbRo wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned

Christian Lenz, Max Schwarz, Andre Rochow +4

Robotic avatar systems can enable immersive telepresence with locomotion, manipulation, and communication capabilities. We present such an avatar system, based on the key component…

cs.RO2023★ 1 cited

The $10 Million ANA Avatar XPRIZE Competition Advanced Immersive Telepresence Systems

Sven Behnke, Julie A. Adams, David Locke

The $10M ANA Avatar XPRIZE aimed to create avatar systems that can transport human presence to remote locations in real time. The participants of this multi-year competition develo…

cs.RO2023

Learning Generalizable Tool Use with Non-rigid Grasp-pose Registration

Malte Mosbach, Sven Behnke

Tool use, a hallmark feature of human intelligence, remains a challenging problem in robotics due the complex contacts and high-dimensional action space. In this work, we present a…

cs.CV2023

YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation

Arul Selvam Periyasamy, Arash Amini, Vladimir Tsaturyan +1

6D object pose estimation is a crucial prerequisite for autonomous robot manipulation applications. The state-of-the-art models for pose estimation are convolutional neural network…

cs.RO2023★ 5 cited

Dexterous Pre-grasp Manipulation for Human-like Functional Categorical Grasping: Deep Reinforcement Learning and Grasp Representations

Dmytro Pavlichenko, Sven Behnke

Many objects, such as tools and household items, can be used only if grasped in a very specific way - grasped functionally. Often, a direct functional grasp is not possible, though…

cs.RO2023★ 1 cited

Quadrupedal Footstep Planning using Learned Motion Models of a Black-Box Controller

Ilyass Taouil, Giulio Turrisi, Daniel Schleich +3

Legged robots are increasingly entering new domains and applications, including search and rescue, inspection, and logistics. However, for such systems to be valuable in real-world…

cs.CV2023★ 12 cited

VR Facial Animation for Immersive Telepresence Avatars

Andre Rochow, Max Schwarz, Michael Schreiber +1

VR Facial Animation is necessary in applications requiring clear view of the face, even though a VR headset is worn. In our case, we aim to animate the face of an operator who is c…

cs.RO2023

External Camera-based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors

Simon Bultmann, Raphael Memmesheimer, Sven Behnke

We present an approach for estimating a mobile robot's pose w.r.t. the allocentric coordinates of a network of static cameras using multi-view RGB images. The images are processed…

cs.RO2023★ 1 cited

Audio-based Roughness Sensing and Tactile Feedback for Haptic Perception in Telepresence

Bastian Pätzold, Andre Rochow, Michael Schreiber +4

Haptic perception is highly important for immersive teleoperation of robots, especially for accomplishing manipulation tasks. We propose a low-cost haptic sensing and rendering sys…

cs.RO2023★ 1 cited

Robust Immersive Telepresence and Mobile Telemanipulation: NimbRo wins ANA Avatar XPRIZE Finals

Max Schwarz, Christian Lenz, Raphael Memmesheimer +4

Robotic avatar systems promise to bridge distances and reduce the need for travel. We present the updated NimbRo avatar system, winner of the $5M grand prize at the international A…

cs.RO2023

RoboCup 2022 AdultSize Winner NimbRo: Upgraded Perception, Capture Steps Gait and Phase-based In-walk Kicks

Dmytro Pavlichenko, Grzegorz Ficht, Arash Amini +7

Beating the human world champions by 2050 is an ambitious goal of the Humanoid League that provides a strong incentive for RoboCup teams to further improve and develop their system…

cs.CV2023

Object-Centric Video Prediction via Decoupling of Object Dynamics and Interactions

Angel Villar-Corrales, Ismail Wahdan, Sven Behnke

We propose a novel framework for the task of object-centric video prediction, i.e., extracting the compositional structure of a video sequence, as well as modeling objects dynamics…

cs.CV2023★ 4 cited

Rendering the Directional TSDF for Tracking and Multi-Sensor Registration with Point-To-Plane Scale ICP

Malte Splietker, Sven Behnke

Dense real-time tracking and mapping from RGB-D images is an important tool for many robotic applications, such as navigation and manipulation. The recently presented Directional T…

cs.RO2023★ 35 cited

Bimanual Telemanipulation with Force and Haptic Feedback through an Anthropomorphic Avatar System

Christian Lenz, Sven Behnke

Robotic teleoperation is a key technology for a wide variety of applications. It allows sending robots instead of humans in remote, possibly dangerous locations while still using t…

cs.RO2022★ 1 cited

Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality Demonstrations

Malte Mosbach, Kara Moraw, Sven Behnke

Dexterous manipulation with anthropomorphic robot hands remains a challenging problem in robotics because of the high-dimensional state and action spaces and complex contacts. Neve…

cs.CV2022

Learning Implicit Probability Distribution Functions for Symmetric Orientation Estimation from RGB Images Without Pose Labels

Arul Selvam Periyasamy, Luis Denninger, Sven Behnke

Object pose estimation is a necessary prerequisite for autonomous robotic manipulation, but the presence of symmetry increases the complexity of the pose estimation task. Existing…

cs.RO2022

State Estimation for Hybrid Locomotion of Driving-Stepping Quadrupeds

Mojtaba Hosseini, Diego Rodriguez, Sven Behnke

Fast and versatile locomotion can be achieved with wheeled quadruped robots that drive quickly on flat terrain, but are also able to overcome challenging terrain by adapting their…

cs.CV2022

Object-level 3D Semantic Mapping using a Network of Smart Edge Sensors

Julian Hau, Simon Bultmann, Sven Behnke

Autonomous robots that interact with their environment require a detailed semantic scene model. For this, volumetric semantic maps are frequently used. The scene understanding can…

cs.RO2022

Efficient Representations of Object Geometry for Reinforcement Learning of Interactive Grasping Policies

Malte Mosbach, Sven Behnke

Grasping objects of different shapes and sizes - a foundational, effortless skill for humans - remains a challenging task in robotics. Although model-based approaches can predict s…

cs.CV2022★ 4 cited

PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices

Radu Alexandru Rosu, Sven Behnke

Neural radiance-density field methods have become increasingly popular for the task of novel-view rendering. Their recent extension to hash-based positional encoding ensures fast t…

cs.CV2022★ 30 cited

Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation

Simon Bultmann, Jan Quenzel, Sven Behnke

Unmanned aerial vehicles (UAVs) equipped with multiple complementary sensors have tremendous potential for fast autonomous or remote-controlled semantic scene analysis, e.g., for d…

cs.CV2022

Online Marker-free Extrinsic Camera Calibration using Person Keypoint Detections

Bastian Pätzold, Simon Bultmann, Sven Behnke

Calibration of multi-camera systems, i.e. determining the relative poses between the cameras, is a prerequisite for many tasks in computer vision and robotics. Camera calibration i…

cs.RO2022

Predictive Angular Potential Field-based Obstacle Avoidance for Dynamic UAV Flights

Daniel Schleich, Sven Behnke

In recent years, unmanned aerial vehicles (UAVs) are used for numerous inspection and video capture tasks. Manually controlling UAVs in the vicinity of obstacles is challenging, ho…

cs.RO2022

Direct Centroidal Control for Balanced Humanoid Locomotion

Grzegorz Ficht, Sven Behnke

We present an integrated approach to locomotion and balancing of humanoid robots based on direct centroidal control. Our method uses a five-mass description of a humanoid. It gener…