Achim J. Lilienthal

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 125

Top Venues

Publications

Rainer Palm, Achim J. Lilienthal
Crossing-Point Estimation in Human-Robot Navigation - Statistical Linearization versus Sigma-Point Transformation. Sensors 24 (11) (2024)
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal, Martin Magnusson
3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding. CoRR (2024)
Tim Schreiter, Andrey Rudenko, Martin Magnusson, Achim J. Lilienthal
Human Gaze and Head Rotation during Navigation, Exploration and Object Manipulation in Shared Environments with Robots. CoRR (2024)
Irina Rudenko, Andrey Rudenko, Achim J. Lilienthal, Kai O. Arras, Barbara Bruno
The Child Factor in Child-Robot Interaction: Discovering the Impact of Developmental Stage and Individual Characteristics. CoRR (2024)
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal, Martin Magnusson
3QFP: Efficient neural implicit surface reconstruction using Tri-Quadtrees and Fourier feature Positional encoding. ICRA (2024)
Thomas Wiedemann, Patrick Hinsen, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal
Domain Knowledge Assisted Gas Tomography. ISOEN (2024)
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Andrey Rudenko, Luigi Palmieri, Tomasz Piotr Kucner, Martin Magnusson, Achim J. Lilienthal
THÖR-MAGNI: A Large-scale Indoor Motion Capture Recording of Human Movement and Robot Interaction. CoRR (2024)
Tiago Rodrigues de Almeida, Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Johannes A. Stork, Martin Magnusson, Achim J. Lilienthal
Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets. IEEE Robotics Autom. Lett. 9 (7) (2024)
Shuo Sun, Malcolm Mielle, Achim J. Lilienthal, Martin Magnusson
High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization. CoRR (2024)
Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. CoRR (2024)
Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal
Gas Distribution Mapping With Radius-Based, Bi-directional Graph Neural Networks (RABI-GNN). ISOEN (2024)
Himanshu Gupta, Oleksandr Kotlyar, Henrik Andreasson, Achim J. Lilienthal
Robust Object Detection in Challenging Weather Conditions. WACV (2024)
Yufei Zhu, Han Fan, Andrey Rudenko, Martin Magnusson, Erik Schaffernicht, Achim J. Lilienthal
LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow. ICRA (2024)
Patrick Hinsen, Thomas Wiedemann, Victor Scott Prieto Ruiz, Dmitriy Shutin, Achim J. Lilienthal
Experimental Study of Gas Propagation: Parameter Identification and Analysis in a Wind Tunnel. ISOEN (2024)
Han Fan, Erik Schaffernicht, Achim J. Lilienthal
Identification of Gas Mixtures with Few Labels Using Graph Convolutional Networks. ISOEN (2024)
Patrick P. Neumann, Dino Hüllmann, Nicolas P. Winkler, Heiko Lohrke, Achim J. Lilienthal
Outdoor Gas Plume Reconstructions: A Field Study with Aerial Tomography. ISOEN (2024)
Maximilian Hilger, Vladimír Kubelka, Daniel Adolfsson, Henrik Andreasson, Achim J. Lilienthal
Towards introspective loop closure in 4D radar SLAM. CoRR (2024)
Himanshu Gupta, Henrik Andreasson, Martin Magnusson, Simon Julier, Achim J. Lilienthal
Revisiting Distribution-Based Registration Methods. ECMR (2023)
Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Luigi Palmieri, Kai Oliver Arras, Achim J. Lilienthal, Martin Magnusson
CLiFF-LHMP: Using Spatial Dynamics Patterns for Long-Term Human Motion Prediction. CoRR (2023)
Himanshu Gupta, Achim J. Lilienthal, Henrik Andreasson, Polina Kurtser
NDT-6D for color registration in agri-robotic applications. J. Field Robotics 40 (6) (2023)
Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Achim J. Lilienthal, Martin Magnusson
A Data-Efficient Approach for Long-Term Human Motion Prediction Using Maps of Dynamics. CoRR (2023)
Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Billing, Martin Magnusson, Kai Oliver Arras, Achim J. Lilienthal
Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. RO-MAN (2023)
Tiago Rodrigues de Almeida, Andrey Rudenko, Tim Schreiter, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Tomasz Piotr Kucner, Óscar Martínez Mozos, Martin Magnusson, Luigi Palmieri, Kai O. Arras, Achim J. Lilienthal
THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Mtion Prediction. ICCV (Workshops) (2023)
Tomasz Piotr Kucner, Martin Magnusson, Sariah Mghames, Luigi Palmieri, Francesco Verdoja, Chittaranjan Srinivas Swaminathan, Tomás Krajník, Erik Schaffernicht, Nicola Bellotto, Marc Hanheide, Achim J. Lilienthal
Survey of maps of dynamics for mobile robots. Int. J. Robotics Res. 42 (11) (2023)
Yufei Zhu, Andrey Rudenko, Tomasz Piotr Kucner, Luigi Palmieri, Kai Oliver Arras, Achim J. Lilienthal, Martin Magnusson
CLiFF-LHMP: Using Spatial Dynamics Patterns for Long- Term Human Motion Prediction. IROS (2023)
Patrick Hinsen, Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal
Exploration and Gas Source Localization in Advection-Diffusion Processes with Potential-Field-Controlled Robotic Swarms. Sensors 23 (22) (2023)
Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson
Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments. IEEE Trans. Robotics 39 (2) (2023)
Himanshu Gupta, Henrik Andreasson, Achim J. Lilienthal, Polina Kurtser
Robust Scan Registration for Navigation in Forest Environment Using Low-Resolution LiDAR Sensors. Sensors 23 (10) (2023)
Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Billing, Martin Magnusson, Kai Oliver Arras, Achim J. Lilienthal
Advantages of Multimodal versus Verbal-Only Robot-to-Human Communication with an Anthropomorphic Robotic Mock Driver. CoRR (2023)
Parviz Asghari, Maike Schindler, Achim J. Lilienthal
Eye Tracking Auto-Correction Using Domain Information. HCI (1) (2023)
Andrey Rudenko, Luigi Palmieri, Wanting Huang, Achim J. Lilienthal, Kai Oliver Arras
The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction. CoRR (2022)
Thomas Wiedemann, Marius Schaab, Juan Marchal Gomez, Dmitriy Shutin, Monika Scheibe, Achim J. Lilienthal
Gas Source Localization Based on Binary Sensing with a UAV. ISOEN (2022)
Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Martin Magnusson, Luigi Palmieri, Sergi Molina Mellado, Anna Mannucci, Federico Pecora, Achim J. Lilienthal
Benchmarking the utility of maps of dynamics for human-aware motion planning. Future Internet 9 (2022)
Daniel Adolfsson, Manuel Castellano-Quero, Martin Magnusson, Achim J. Lilienthal, Henrik Andreasson
CorAl: Introspection for Robust Radar and Lidar Perception in Diverse Environments Using Differential Entropy. CoRR (2022)
Tim Schreiter, Lucas Morillo-Méndez, Ravi T. Chadalavada, Andrey Rudenko, Erik Alexander Billing, Achim J. Lilienthal
The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction. CoRR (2022)
Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson
Lidar-level localization with radar? The CFEAR approach to accurate, fast and robust large-scale radar odometry in diverse environments. CoRR (2022)
Andrey Rudenko, Luigi Palmieri, Wanting Huang, Achim J. Lilienthal, Kai Oliver Arras
The Atlas Benchmark: an Automated Evaluation Framework for Human Motion Prediction. RO-MAN (2022)
Parviz Asghari, Maike Schindler, Achim J. Lilienthal
Can Eye Tracking with Pervasive Webcams Replace Dedicated Eye Trackers? an Experimental Comparison of Eye-Tracking Performance. HCI (48) (2022)
Nicolas P. Winkler, Haruka Matsukura, Patrick P. Neumann, Erik Schaffernicht, Hiroshi Ishida, Achim J. Lilienthal
Super-Resolution for Gas Distribution Mapping: Convolutional Encoder-Decoder Network. ISOEN (2022)
Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht, Han Fan, Haruka Matsukura, Hiroshi Ishida, Patrick P. Neumann, Achim J. Lilienthal
Learning from the Past: Sequential Deep Learning for Gas Distribution Mapping. ROBOT (2) (2022)
Han Fan, Daniel Jonsson, Erik Schaffernicht, Achim J. Lilienthal
Towards Gas Identification in Unknown Mixtures Using an Electronic Nose with One-Class Learning. ISOEN (2022)
Tim Schreiter, Tiago Rodrigues de Almeida, Yufei Zhu, Eduardo Gutiérrez-Maestro, Lucas Morillo-Méndez, Andrey Rudenko, Tomasz Piotr Kucner, Óscar Martínez Mozos, Martin Magnusson, Luigi Palmieri, Kai Oliver Arras, Achim J. Lilienthal
The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. CoRR (2022)
Daniel Adolfsson, Manuel Castellano-Quero, Martin Magnusson, Achim J. Lilienthal, Henrik Andreasson
CorAl: Introspection for robust radar and lidar perception in diverse environments using differential entropy. Robotics Auton. Syst. 155 (2022)
Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Martin Magnusson, Luigi Palmieri, Sergi Molina Mellado, Anna Mannucci, Federico Pecora, Achim J. Lilienthal
Benchmarking the utility of maps of dynamics for human-aware motion planning. Frontiers Robotics AI 9 (2022)
Tomasz Piotr Kucner, Matteo Luperto, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal
Robust Frequency-Based Structure Extraction. ICRA (2021)
Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. CoRR (2021)
Anas W. Alhashimi, Daniel Adolfsson, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal
BFAR-Bounded False Alarm Rate detector for improved radar odometry estimation. CoRR (2021)
Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai Oliver Arras
Learning Occupancy Priors of Human Motion From Semantic Maps of Urban Environments. IEEE Robotics Autom. Lett. 6 (2) (2021)
Daniel Adolfsson, Martin Magnusson, Qianfang Liao, Achim J. Lilienthal, Henrik Andreasson
CorAl - Are the point clouds Correctly Aligned? ECMR (2021)
Muhammad Asif Arain, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Sniffing out fugitive methane emissions: autonomous remote gas inspection with a mobile robot. Int. J. Robotics Res. 40 (4-5) (2021)
Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai Oliver Arras
Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments. CoRR (2021)
Luigi Palmieri, Andrey Rudenko, Jim Mainprice, Marc Hanheide, Alexandre Alahi, Achim J. Lilienthal, Kai Oliver Arras
Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction. IEEE Robotics Autom. Lett. 6 (3) (2021)
Nicolas P. Winkler, Patrick P. Neumann, Erik Schaffernicht, Achim J. Lilienthal
Using Redundancy in a Sensor Network to Compensate Sensor Failures. IEEE SENSORS (2021)
Tyrone Machado, David Fassbender, Abdolreza Taheri, Daniel Eriksson, Himanshu Gupta, Amirmasoud Molaei, Paolo Forte, Prashant Rai, Reza Ghabcheloo, Saku Mäkinen, Achim J. Lilienthal, Henrik Andreasson, Marcus Geimer
Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge. CoRR (2021)
Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson
CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. IROS (2021)
Daniel Adolfsson, Martin Magnusson, Anas W. Alhashimi, Achim J. Lilienthal, Henrik Andreasson
Oriented surface points for efficient and accurate radar odometry. CoRR (2021)
Daniel Adolfsson, Martin Magnusson, Qianfang Liao, Achim J. Lilienthal, Henrik Andreasson
CorAl - Are the point clouds Correctly Aligned? CoRR (2021)
Tomás Vintr, Zhi Yan, Kerem Eyisoy, Filip Kubis, Jan Blaha, Jirí Ulrich, Chittaranjan Srinivas Swaminathan, Sergi Molina Mellado, Tomasz Kucner, Martin Magnusson, Grzegorz Cielniak, Jan Faigl, Tom Duckett, Achim J. Lilienthal, Tomás Krajník
Natural Criteria for Comparison of Pedestrian Flow Forecasting Models. IROS (2020)
Ravi T. Chadalavada, Henrik Andreasson, Maike Schindler, Rainer Palm, Achim J. Lilienthal
Bi-directional navigation intent communication using spatial augmented reality and eye-tracking glasses for improved safety in human-robot interaction. Robotics Comput. Integr. Manuf. 61 (2020)
Hui-Rang Hou, Achim J. Lilienthal, Qing-Hao Meng
Gas Source Declaration With Tetrahedral Sensing Geometries and Median Value Filtering Extreme Learning Machine. IEEE Access 8 (2020)
Andrey Rudenko, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Ravi T. Chadalavada, Kai Oliver Arras, Achim J. Lilienthal
THÖR: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset. IEEE Robotics Autom. Lett. 5 (2) (2020)
Dinh-Cuong Hoang, Achim J. Lilienthal, Todor Stoyanov
Object-RPE: Dense 3D reconstruction and pose estimation with convolutional neural networks. Robotics Auton. Syst. 133 (2020)
Dinh-Cuong Hoang, Achim J. Lilienthal, Todor Stoyanov
Panoptic 3D Mapping and Object Pose Estimation Using Adaptively Weighted Semantic Information. IEEE Robotics Autom. Lett. 5 (2) (2020)
Tomasz Piotr Kucner, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal
Robust Frequency-Based Structure Extraction. CoRR (2020)
Daniel Adolfsson, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal, Henrik Andreasson
A Submap per Perspective - Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. ECMR (2019)
Tomás Vintr, Sergi Molina Mellado, Ransalu Senanayake, George Broughton, Zhi Yan, Jirí Ulrich, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Filip Majer, Mária Stachová, Achim J. Lilienthal, Tomás Krajník
Time-varying Pedestrian Flow Models for Service Robots. ECMR (2019)
Dino Hüllmann, Patrick P. Neumann, Javier Monroy, Achim J. Lilienthal
A Realistic Remote Gas Sensor Model for Three-Dimensional Olfaction Simulations. ISOEN (2019)
Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal
URSIM: Unique Regions for Sketch Map Interpretation and Matching. Robotics 8 (2) (2019)
Rainer Palm, Achim J. Lilienthal
Gaussian noise and the intersection problem in Human-Robot Systems - analytical and fuzzy approach. FUZZ-IEEE (2019)
Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal
The Auto-Complete Graph: Merging and Mutual Correction of Sensor and Prior Maps for SLAM. Robotics 8 (2) (2019)
Javier Burgués, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal, Santiago Marco
Smelling Nano Aerial Vehicle for Gas Source Localization and Mapping. Sensors 19 (3) (2019)
Han Fan, Victor Manuel Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal
Towards Gas Discrimination and Mapping in Emergency Response Scenarios Using a Mobile Robot with an Electronic Nose. Sensors 19 (3) (2019)
Dino Hüllmann, Patrick P. Neumann, Nils Scheuschner, Matthias Bartholmai, Achim J. Lilienthal
Experimental Validation of the Cone-Shaped Remote Gas Sensor Model. IEEE SENSORS (2019)
Thomas Wiedemann, Achim J. Lilienthal, Dmitriy Shutin
Analysis of Model Mismatch Effects for a Model-Based Gas Source Localization Strategy Incorporating Advection Knowledge. Sensors 19 (3) (2019)
Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots. CoRR (2019)
Andrey Rudenko, Tomasz Piotr Kucner, Chittaranjan Srinivas Swaminathan, Ravi T. Chadalavada, Kai Oliver Arras, Achim J. Lilienthal
THÖR: Human-Robot Indoor Navigation Experiment and Accurate Motion Trajectories Dataset. CoRR (2019)
Achim J. Lilienthal, Maike Schindler
Current Trends in Eye Tracking Research in Mathematics Education: A PME Literature Review. CoRR (2019)
Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal
A comparative analysis of radar and lidar sensing for localization and mapping. ECMR (2019)
Victor Manuel Hernandez Bennetts, Kamarulzaman Kamarudin, Thomas Wiedemann, Tomasz Piotr Kucner, Sai Lokesh Somisetty, Achim J. Lilienthal
Multi-Domain Airflow Modeling and Ventilation Characterization Using Mobile Robots, Stationary Sensors and Machine Learning. Sensors 19 (5) (2019)
Han Fan, Victor Hernandez Bennett, Erik Schaffernicht, Achim J. Lilienthal
Semi-supervised Gas Detection Using an Ensemble of One-class Classifiers. ISOEN (2019)
Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal
High-quality Instance-aware Semantic 3D Map Using RGB-D Camera. CoRR (2019)
Thomas Wiedemann, Dmitriy Shutin, Achim J. Lilienthal
Model-based gas source localization strategy for a cooperative multi-robot system - A probabilistic approach and experimental validation incorporating physical knowledge and model uncertainties. Robotics Auton. Syst. 118 (2019)
Rainer Palm, Achim J. Lilienthal
Uncertainty and Fuzzy Modeling in Human-robot Navigation. IJCCI (2019)
Dinh-Cuong Hoang, Todor Stoyanov, Achim J. Lilienthal
Object-RPE: Dense 3D Reconstruction and Pose Estimation with Convolutional Neural Networks for Warehouse Robots. ECMR (2019)
Daniel Ricao Canelhas, Todor Stoyanov, Achim J. Lilienthal
A Survey of Voxel Interpolation Methods and an Evaluation of Their Impact on Volumetric Map-Based Visual Odometry. ICRA (2018)
Riccardo Polvara, Marco Trabattoni, Tomasz Piotr Kucner, Erik Schaffernicht, Francesco Amigoni, Achim J. Lilienthal
A Next-Best-Smell Approach for Remote Gas Detection with a Mobile Robot. CoRR (2018)
Patrick P. Neumann, Dino Hüllmann, Daniel Krentel, Martin Kluge, Harald Kohlhoff, Achim J. Lilienthal
Gas Tomography Up in the Air! IEEE SENSORS (2018)
Chittaranjan Srinivas Swaminathan, Tomasz Piotr Kucner, Martin Magnusson, Luigi Palmieri, Achim J. Lilienthal
Down the CLiFF: Flow-Aware Tralatory Planning Under Motion Pattern Uncertainty. IROS (2018)
Hongqi Fan, Dawei Lu, Tomasz Piotr Kucner, Martin Magnusson, Achim J. Lilienthal
2D Spatial Keystone Transform for Sub-Pixel Motion Extraction from Noisy Occupancy Grid Map. FUSION (2018)
Hongqi Fan, Tomasz Piotr Kucner, Martin Magnusson, Tiancheng Li, Achim J. Lilienthal
A Dual PHD Filter for Effective Occupancy Filtering in a Highly Dynamic Environment. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Andrey Rudenko, Luigi Palmieri, Achim J. Lilienthal, Kai Oliver Arras
Human Motion Prediction Under Social Grouping Constraints. IROS (2018)
Håkan Almqvist, Martin Magnusson, Tomasz Kucner, Achim J. Lilienthal
Learning to detect misaligned point clouds. J. Field Robotics 35 (5) (2018)
Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal
A Method to Segment Maps from Different Modalities Using Free Space Layout MAORIS: Map of Ripples Segmentation. ICRA (2018)
Malcolm Mielle, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal
SLAM auto-complete: Completing a robot map using an emergency map. SSRR (2017)
Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics 6 (3) (2017)
Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
Mobile robots for learning spatio-temporal interpolation models in sensor networks - The Echo State map approach. ICRA (2017)
Martin Cooney, Sepideh Pashami, Yuantao Fan, Anita Pinheiro Sant'Anna, Yinrong Ma, Tianyi Zhang, Yuwei Zhao, Wolfgang Hotze, Jeremy Heyne, Cristofer Englund, Achim J. Lilienthal, Tom Ziemke
Exploring home robot capabilities by medium fidelity prototyping. CoRR (2017)
Henrik Andreasson, Daniel Adolfsson, Todor Stoyanov, Martin Magnusson, Achim J. Lilienthal
Incorporating ego-motion uncertainty estimates in range data registration. IROS (2017)
Rainer Palm, Achim J. Lilienthal
Long distance prediction and short distance control in human-robot systems. FUZZ-IEEE (2017)
Tomasz Piotr Kucner, Martin Magnusson, Erik Schaffernicht, Victor Manuel Hernandez Bennetts, Achim J. Lilienthal
Enabling Flow Awareness for Mobile Robots in Partially Observable Environments. IEEE Robotics Autom. Lett. 2 (2) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Achim J. Lilienthal