Human-aided robotic grasping. - Nutan Chen; Chee-Meng Chew; Keng Peng Tee; Boon Siew Han (RO-MAN, 2012)

System architecture for an interactive patrolling humanoid robot. - Albertus Hendrawan Adiwahono; Bingbing Liu; Nutan Chen; Tai Wen Chang; Tran Anh Dung; Xiaojun Wu; Boon Siew Han (WASA, 2012)

Intuitive interaction for robotic grasping. - Nutan Chen; Keng Peng Tee; Chee-Meng Chew; Rui Yan (WASA, 2012)

Assistive grasping in teleoperation using infra-red proximity sensors. - Nutan Chen; Keng Peng Tee; Chee-Meng Chew (RO-MAN, 2013)

Estimating finger grip force from an image of the hand using Convolutional Neural Networks and Gaussian processes. - Nutan Chen; Sebastian Urban; Christian Osendorfer; Justin Bayer; Patrick van der Smagt (ICRA, 2014)

On Fast Dropout and its Applicability to Recurrent Networks. - Justin Bayer; Christian Osendorfer; Nutan Chen; Sebastian Urban; Patrick van der Smagt (ICLR (Poster), 2014)

Efficient movement representation by embedding Dynamic Movement Primitives in deep autoencoders. - Nutan Chen; Justin Bayer; Sebastian Urban; Patrick van der Smagt (Humanoids, 2015)

Measuring fingertip forces from camera images for random finger poses. - Nutan Chen; Sebastian Urban; Justin Bayer; Patrick van der Smagt (IROS, 2015)

Teleoperation grasp assistance using infra-red sensor array. - Nutan Chen; Keng Peng Tee; Chee-Meng Chew (Robotica, 2015)

Dynamic movement primitives in latent space of time-dependent variational autoencoders. - Nutan Chen; Maximilian Karl; Patrick van der Smagt (Humanoids, 2016)

Stable reinforcement learning with autoencoders for tactile and visual data. - Herke van Hoof; Nutan Chen; Maximilian Karl; Patrick van der Smagt; Jan Peters 001 (IROS, 2016)

Metrics for Deep Generative Models. - Nutan Chen; Alexej Klushyn; Richard Kurle; Xueyan Jiang; Justin Bayer; Patrick van der Smagt (AISTATS, 2018)

Active Learning based on Data Uncertainty and Model Sensitivity. - Nutan Chen; Alexej Klushyn; Alexandros Paraschos; Djalel Benbouzid; Patrick van der Smagt (IROS, 2018)

Efficient Movement Representation and Prediction with Machine Learning (Effiziente Darstellung und Vorhersage von Bewegungsabläufen durch Maschinelles Lernen) - Nutan Chen (2018)

Early integration for movement modeling in latent spaces. - Rachel Hornung; Nutan Chen; Patrick van der Smagt (The Handbook of Multimodal-Multisensor Interfaces, Volume 3 (3), 2019)

Fast Approximate Geodesics for Deep Generative Models. - Nutan Chen; Francesco Ferroni; Alexej Klushyn; Alexandros Paraschos; Justin Bayer; Patrick van der Smagt (ICANN (2), 2019)

Increasing the Generalisaton Capacity of Conditional VAEs. - Alexej Klushyn; Nutan Chen; Botond Cseke; Justin Bayer; Patrick van der Smagt (ICANN (2), 2019)

Learning Hierarchical Priors in VAEs. - Alexej Klushyn; Nutan Chen; Richard Kurle; Botond Cseke; Patrick van der Smagt (NeurIPS, 2019)

Learning Flat Latent Manifolds with VAEs. - Nutan Chen; Alexej Klushyn; Francesco Ferroni; Justin Bayer; Patrick van der Smagt (ICML, 2020)

Estimating Fingertip Forces, Torques, and Local Curvatures from Fingernail Images. - Nutan Chen; Göran Westling; Benoni B. Edin; Patrick van der Smagt (Robotica, 2020)

Local Distance Preserving Auto-encoders using Continuous kNN Graphs. - Nutan Chen; Patrick van der Smagt; Botond Cseke (TAG-ML, 2022)

Flat latent manifolds for music improvisation between human and machine. - Nutan Chen; Djalel Benbouzid; Francesco Ferroni; Mathis Nitschke; Luciano Pinna; Patrick van der Smagt (CoRR, 2022)

Local distance preserving auto-encoders using Continuous k-Nearest Neighbours graphs. - Nutan Chen; Patrick van der Smagt; Botond Cseke (CoRR, 2022)

Probabilistic Dalek - Emulator framework with probabilistic prediction for supernova tomography. - Wolfgang E. Kerzendorf; Nutan Chen; Jack O'Brien; Johannes Buchner; Patrick van der Smagt (CoRR, 2022)

Editorial: Language, affordance and physics in robot cognition and intelligent systems. - Nutan Chen; Walterio W. Mayol-Cuevas; Maximilian Karl; Elie Aljalbout; Andy Zeng 001; Aurelio Cortese; Wolfram Burgard; Herke van Hoof (Frontiers Robotics AI, 2023)

Guided Decoding for Robot On-line Motion Generation and Adaption. - Nutan Chen; Botond Cseke; Elie Aljalbout; Alexandros Paraschos; Marvin Alles; Patrick van der Smagt (Humanoids, 2024)

Fast Preserving Local Distances and Topology in Auto-encoders. - Nutan Chen; Patrick van der Smagt; Botond Cseke (ICONIP (2), 2024)

Sequential Model for Predicting Patient Adherence in Subcutaneous Immunotherapy for Allergic Rhinitis. - Yin Li; Yu Xiong; Wenxin Fan; Kai Wang; Qingqing Yu; Liping Si; Patrick van der Smagt; Jun Tang; Nutan Chen (CoRR, 2024)

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. - Xudong Sun 002; Nutan Chen; Alexej Gossmann; Yu Xing; Carla Feistner; Emilio Dorigatt; Felix Drost; Daniele Scarcella; Lisa Beer; Carsten Marr (CoRR, 2024)

DomainLab: A modular Python package for domain generalization in deep learning. - Xudong Sun 002; Carla Feistner; Alexej Gossmann; George Schwarz; Rao Muhammad Umer; Lisa Beer; Patrick Rockenschaub; Rahul Babu Shrestha; Armin Gruber; Nutan Chen; Sayedali Shetab Boushehri; Florian Buettner 001; et al. (CoRR, 2024)

Guided Decoding for Robot Motion Generation and Adaption. - Nutan Chen; Elie Aljalbout; Botond Cseke; Patrick van der Smagt (CoRR, 2024)

A dataset of primary nasopharyngeal carcinoma MRI with multi-modalities segmentation. - Yin Li; Qi Chen; Kai Wang; Meige Li; Liping Si; Yingwei Guo; Yu Xiong; Qixing Wang; Yang Qin; Ling Xu; Patrick van der Smagt; Jun Tang; et al. (CoRR, 2024)

LIMT: Language-Informed Multi-Task Visual World Models. - Elie Aljalbout; Nikolaos Sotirakis; Patrick van der Smagt; Maximilian Karl; Nutan Chen (CoRR, 2024)

M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling. - Xudong Sun 002; Nutan Chen; Alexej Gossmann; Yu Xing; Matteo Wohlrapp; Emilio Dorigatti; Carla Feistner; Felix Drost; Daniele Scarcella; Lisa Beer; Carsten Marr (AISTATS, 2025)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning. - Marvin Alles; Nutan Chen; Patrick van der Smagt; Botond Cseke (CoRR, 2025)

Robotic Perception with a Large Tactile-Vision-Language Model for Physical Property Inference. - Zexiang Guo; Hengxiang Chen; Xinheng Mai; Qiusang Qiu; Gan Ma; Zhanat Kappassov; Qiang Li; Nutan Chen (CoRR, 2025)