Daniela Rus

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 491

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

Publications

Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR (2024)
Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus, Shirley Coyle, Cosimo Della Santina
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control. CoRR (2024)
Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
Learning with Chemical versus Electrical Synapses - Does it Make a Difference? CoRR (2024)
Lianhao Yin, Yutong Ban, Jennifer A. Eckhoff, Ozanan R. Meireles, Daniela Rus, Guy Rosman
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery. CoRR (2024)
Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Ozanan R. Meireles, Daniela Rus, Guy Rosman
Concept Graph Neural Networks for Surgical Video Understanding. IEEE Trans. Medical Imaging 43 (1) (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR (2024)
Gregory Xie, Rachel M. Holladay, Lillian Chin, Daniela Rus
In-Hand Manipulation With a Simple Belted Parallel-Jaw Gripper. IEEE Robotics Autom. Lett. 9 (2) (2024)
Wei Xiao, Ross E. Allen, Daniela Rus
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CDC (2023)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation with Convexified Implicit Gradients. ICML (2023)
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA (2023)
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. ICRA (2023)
Makram Chahine, Ramin M. Hasani, Patrick Kao, Aaron Ray, Ryan Shubert, Mathias Lechner, Alexander Amini, Daniela Rus
Robust flight navigation out of distribution with liquid neural networks. Sci. Robotics 8 (77) (2023)
Chao Liu, Andrea Moncada, Hanna Matusik, Deniz Irem Erus, Daniela Rus
A Modular Bio-inspired Robotic Hand with High Sensitivity. RoboSoft (2023)
Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus
Risk-Aware Neural Navigation From BEV Input for Interactive Driving. ICRA (2023)
Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL (2023)
Andrew Spielberg, Tao Du, Yuanming Hu, Daniela Rus, Wojciech Matusik
Advanced soft robot modeling in ChainQueen. Robotica 41 (1) (2023)
Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. ICLR (2023)
Joseph DelPreto, Cheryl L. Brunelle, Alphonse G. Taghian, Daniela Rus
Sensorizing a Compression Sleeve for Continuous Pressure Monitoring and Lymphedema Treatment Using Pneumatic or Resistive Sensors. RoboSoft (2023)
Teddy Ort, Igor Gilitschenski, Daniela Rus
GROUNDED: A localizing ground penetrating radar evaluation dataset for learning to localize in inclement weather. Int. J. Robotics Res. 42 (10) (2023)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. CoRR (2023)
James M. Bern, Zach J. Patterson, Leonardo Zamora Yañez, Kristoff K. Misquitta, Daniela Rus
A Fabrication and Simulation Recipe for Untethering Soft-Rigid Robots with Cable-Driven Stiffness Modulation. IROS (2023)
Tsun-Hsuan Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Joshua B. Tenenbaum, Chuang Gan, Daniela Rus
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. CoRR (2023)
Mathias Lechner, Dorde Zikelic, Krishnendu Chatterjee, Thomas A. Henzinger, Daniela Rus
Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks. AAAI (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. L4DC (2023)
Hanna Matusik, Chao Liu, Daniela Rus
Directly 3D Printed, Pneumatically Actuated Multi-Material Robotic Hand. CoRR (2023)
Hongliang Guo, Qi Kang, Wei-Yun Yau, Marcelo H. Ang, Daniela Rus
EM-Patroller: Entropy Maximized Multi-Robot Patrolling With Steady State Distribution Approximation. IEEE Robotics Autom. Lett. 8 (9) (2023)
Chen Zhang, Zefan Huang, Beatrix Xue Lin Tung, Marcelo H. Ang, Daniela Rus
SMART-Degradation: A Dataset for LiDAR Degradation Evaluation in Rain. IROS (2023)
Chen Zhang, Zefan Huang, Marcelo H. Ang, Daniela Rus
LiDAR Missing Measurement Detection for Autonomous Driving in Rain. IROS (2023)
Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus
Liquid Structural State-Space Models. ICLR (2023)
Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman
Least-Mean-Squares Coresets for Infinite Streams. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Annan Zhang, Tsun-Hsuan Wang, Ryan L. Truby, Lillian Chin, Daniela Rus
Machine Learning Best Practices for Soft Robot Proprioception. IROS (2023)
Qi Yang, Shreya Ravikumar, Fynn Schmitt-Ulms, Satvik Lolla, Ege Demir, Iaroslav Elistratov, Alex Lavaee, Sadhana Lolla, Elaheh Ahmadi, Daniela Rus, Alexander Amini, Alejandro Perez
Uncertainty-aware Language Modeling for Selective Question Answering. CoRR (2023)
Peter Werner, Alexandre Amice, Tobia Marcucci, Daniela Rus, Russ Tedrake
Approximating Robot Configuration Spaces with few Convex Sets using Clique Covers of Visibility Graphs. CoRR (2023)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL (2023)
Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh B. Tenenbaum, Chuang Gan, Daniela Rus
DiffuseBot: Breeding Soft Robots With Physics-Augmented Generative Diffusion Models. NeurIPS (2023)
Noam Buckman, Sertac Karaman, Daniela Rus
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. CoRR (2023)
Yihong Xu, Yutong Ban, Guillaume Delorme, Chuang Gan, Daniela Rus, Xavier Alameda-Pineda
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Network Training. CoRR (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Sets. CoRR (2023)
Lillian Chin, Max Burns, Gregory Xie, Daniela Rus
Flipper-Style Locomotion Through Strong Expanding Modular Robots. IEEE Robotics Autom. Lett. 8 (2) (2023)
Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR (2023)
Wei Xiao, Ross E. Allen, Daniela Rus
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CoRR (2023)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR (2023)
Ross E. Allen, Wei Xiao, Daniela Rus
Learned Risk Metric Maps for Kinodynamic Systems. ICRA (2023)
Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus
Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning. IROS (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Makram Chahine, Alexander Amini, Xiao Li, Daniela Rus
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control. IEEE Trans. Robotics 39 (3) (2023)
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. IEEE Robotics Autom. Lett. 8 (8) (2023)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Follow Anything: Open-set detection, tracking, and following in real-time. CoRR (2023)
Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
Provable Data Subset Selection For Efficient Neural Networks Training. ICML (2023)
Zach J. Patterson, Wei Xiao, Emily Sologuren, Daniela Rus
Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions. CoRR (2023)
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters. ICRA (2023)
Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus
AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML (2023)
Zhikai Li, Christina Dao Wen Lee, Beatrix Xue Lin Tung, Zefan Huang, Daniela Rus, Marcelo H. Ang
Hot-NetVLAD: Learning Discriminatory Key Points for Visual Place Recognition. IEEE Robotics Autom. Lett. 8 (2) (2023)
David Matthews, Andrew Spielberg, Daniela Rus, Sam Kriegman, Josh C. Bongard
Efficient automatic design of robots. CoRR (2023)
Yunho Choi, Dong-hyeon Park, Sungha Lee, Isaac Han, Ecehan Akan, Hyeonchang Jeon, Yiyue Luo, Seungjun Kim, Wojciech Matusik, Daniela Rus, Kyung-Joong Kim
Seamless-walk: natural and comfortable virtual reality locomotion method with a high-resolution tactile sensor. Virtual Real. 27 (2) (2023)
Ross Allen, Wei Xiao, Daniela Rus
Learned Risk Metric Maps for Kinodynamic Systems. CoRR (2023)
Hongliang Guo, Zhaokai Liu, Rui Shi, Wei-Yun Yau, Daniela Rus
Cross-Entropy Regularized Policy Gradient for Multirobot Nonadversarial Moving Target Search. IEEE Trans. Robotics 39 (4) (2023)
Chen Zhang, Zefan Huang, Hongliang Guo, Lei Qin, Marcelo H. Ang, Daniela Rus
SMART-Rain: A Degradation Evaluation Dataset for Autonomous Driving in Rain. IROS (2023)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
Dataset Distillation with Convexified Implicit Gradients. CoRR (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. ICLR (2023)
Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. IEEE Robotics Autom. Lett. 8 (3) (2023)
Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus
Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning. CoRR (2023)
Noam Buckman, Sertac Karaman, Daniela Rus
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. IV (2023)
Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks. CoRR (2023)
Junyi Han, Daniela Rus, Shuhei Miyashita
Roblets: Robotic Tablets That Self-Assemble and Self-Fold into a Robot. IROS (2023)
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters. CoRR (2023)
Zach J. Patterson, Cosimo Della Santina, Daniela Rus
Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots. CoRR (2023)
Chen Zhang, Zefan Huang, Beatrix Xue Lin Tung, Marcelo H. Ang, Daniela Rus
SmartRainNet: Uncertainty Estimation For Laser Measurement in Rain. ICRA (2023)
Tsun-Hsuan Wang, Alaa Maalouf, Wei Xiao, Yutong Ban, Alexander Amini, Guy Rosman, Sertac Karaman, Daniela Rus
Drive Anywhere: Generalizable End-to-end Autonomous Driving with Multi-modal Foundation Models. CoRR (2023)
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR (2023)
Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR (2023)
Maximilian Stölzle, Lillian Chin, Ryan L. Truby, Daniela Rus, Cosimo Della Santina
Modelling Handed Shearing Auxetics: Selective Piecewise Constant Strain Kinematics and Dynamic Simulation. RoboSoft (2023)
Wei Xiao, Tsun-Hsuan Wang, Ramin M. Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus
On the Forward Invariance of Neural ODEs. ICML (2023)
Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments. CoRR (2023)
Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS (2023)
Maximilian Stölzle, Daniela Rus, Cosimo Della Santina
An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots. CoRR (2023)
Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus
On the Size and Approximation Error of Distilled Datasets. NeurIPS (2023)
Gwangbin Kim, Dohyeon Yeo, Taewoo Jo, Daniela Rus, SeungJun Kim
What and When to Explain?: On-road Evaluation of Explanations in Highly Automated Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Tsun-Hsuan Wang, Wei Xiao, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Learning Stability Attention in Vision-based End-to-end Driving Policies. CoRR (2023)
Chao Liu, Andrea Moncada, Hanna Matusik, Deniz Irem Erus, Daniela Rus
A Modular Bio-inspired Robotic Hand with High Sensitivity. CoRR (2023)
Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Towards Cooperative Flight Control Using Visual-Attention. IROS (2023)
Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus
Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning. IEEE Robotics Autom. Lett. 8 (3) (2023)
Noam Buckman, Shiva Sreeram, Mathias Lechner, Yutong Ban, Ramin M. Hasani, Sertac Karaman, Daniela Rus
Infrastructure-based End-to-End Learning and Prevention of Driver Failure. CoRR (2023)
Joseph DelPreto, Chao Liu, Yiyue Luo, Michael Foshey, Yunzhu Li, Antonio Torralba, Wojciech Matusik, Daniela Rus
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment. NeurIPS (2022)
Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus
Efficient Dataset Distillation Using Random Feature Approximation. CoRR (2022)
Cameron Duffield, Abigail F. Smith, Daniela Rus, Dana D. Damian, Shuhei Miyashita
Wirelessly Magnetically Actuated Motor for Tissue Regeneration Robotic Implant. IROS (2022)
Brandon Araki, Jeana Choi, Lillian Chin, Xiao Li, Daniela Rus
Learning Policies by Learning Rules. IEEE Robotics Autom. Lett. 7 (2) (2022)
Mathias Lechner, Ramin M. Hasani, Philipp Neubauer, Sophie A. Neubauer, Daniela Rus
PyHopper - Hyperparameter optimization. CoRR (2022)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. CoRR (2022)
Yiyue Luo, Kui Wu, Andrew Spielberg, Michael Foshey, Daniela Rus, Tomás Palacios, Wojciech Matusik
Digital Fabrication of Pneumatic Actuators with Integrated Sensing by Machine Knitting. CHI (2022)
Xiao Li, Guy Rosman, Igor Gilitschenski, Brandon Araki, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN). IEEE Robotics Autom. Lett. 7 (2) (2022)
Jose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. L4DC (2022)
Aaron Ray, Alyssa Pierson, Hai Zhu, Javier Alonso-Mora, Daniela Rus
Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints. CoRR (2022)
Sophie A. Gruenbacher, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Thomas A. Henzinger, Scott A. Smolka, Radu Grosu
GoTube: Scalable Statistical Verification of Continuous-Depth Models. AAAI (2022)
Wei Xiao, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Differentiable Control Barrier Functions for Vision-based End-to-End Autonomous Driving. CoRR (2022)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Interpreting Neural Policies with Disentangled Tree Representations. CoRR (2022)
Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC (2022)
Allan Zhao, Tao Du, Jie Xu, Josie Hughes, Juan Salazar, Pingchuan Ma, Wei Wang, Daniela Rus, Wojciech Matusik
Automatic Co-Design of Aerial Robots Using a Graph Grammar. IROS (2022)
Teddy Ort, Jeffrey M. Walls, Steven A. Parkison, Igor Gilitschenski, Daniela Rus
MapLite 2.0: Online HD Map Inference Using a Prior SD Map. IEEE Robotics Autom. Lett. 7 (3) (2022)
Alexander Amini, Tsun-Hsuan Wang, Igor Gilitschenski, Wilko Schwarting, Zhijian Liu, Song Han, Sertac Karaman, Daniela Rus
VISTA 2.0: An Open, Data-driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles. ICRA (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniela Rus