Daniela Rus

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 485

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

Publications

Wei Wang, Wei Xiao, Alejandro Gonzalez-Garcia, Jan Swevers, Carlo Ratti, Daniela Rus
Robust Model Predictive Control with Control Barrier Functions for Autonomous Surface Vessels. ICRA (2024)
Zach J. Patterson, Cosimo Della Santina, Daniela Rus
Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots. ICRA (2024)
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. ICRA (2024)
Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. CoRR (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR (2024)
Pascal Spino, Daniela Rus
Towards Centimeter-Scale Underwater Mobile Robots: An Architecture for Capable µAUVs. ICRA (2024)
Anass Bairouk, Mirjana Maras, Simon Herlin, Alexander Amini, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus
Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder. 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. RoboSoft (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)
T. Konstantin Rusch, Nathan Kirk, Michael M. Bronstein, Christiane Lemieux, Daniela Rus
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks. CoRR (2024)
Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. ICLR (2024)
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR (2024)
Hanna Matusik, Chao Liu, Daniela Rus
Directly 3D Printed, Pneumatically Actuated Multi-Material Robotic Hand. ICRA (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)
Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik
LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery. CoRR (2024)
Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. ICLR (2024)
Junyi Zhu, Young Joong Lee, Yiyue Luo, Tianyu Xu, Chao Liu, Daniela Rus, Stefanie Mueller, Wojciech Matusik
Liquids Identification and Manipulation via Digitally Fabricated Impedance Sensors. ICRA (2024)
Peter Werner, Alexandre Amice, Tobia Marcucci, Daniela Rus, Russ Tedrake
Approximating Robot Configuration Spaces with few Convex Sets using Clique Covers of Visibility Graphs. ICRA (2024)
Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV (2024)
Annan Zhang, Lillian Chin, Daniel L. Tong, Daniela Rus
Embedded air channels transform soft lattices into sensorized grippers. ICRA (2024)
Yao Du, Carlos M. Mateo, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Alexander Amini, Daniela Rus, Omar Tahri
Toward Efficient Visual Gyroscopes: Spherical Moments, Harmonics Filtering, and Masking Techniques for Spherical Camera Applications. 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)
Steven Ceron, Wei Xiao, Daniela Rus
Reciprocal and Non-Reciprocal Swarmalators with Programmable Locomotion and Formations for Robot Swarms. ICRA (2024)
Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR (2024)
Mathias Lechner, Ramin M. Hasani, Alexander Amini, Tsun-Hsuan Wang, Thomas A. Henzinger, Daniela Rus
Overparametrization helps offline-to-online generalization of closed-loop control from pixels. ICRA (2024)
Valerie K. Chen, Lillian Chin, Jeana Choi, Annan Zhang, Daniela Rus
Real- Time Grocery Packing by Integrating Vision, Tactile Sensing, and Soft Fingers. RoboSoft (2024)
Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus
Probing Multimodal LLMs as World Models for Driving. CoRR (2024)
Wei Xiao, Tsun-Hsuan Wang, Daniela Rus
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning. CoRR (2024)
Alaa Maalouf, Ninad Jadhav, Krishna Murthy Jatavallabhula, Makram Chahine, Daniel M. Vogt, Robert J. Wood, Antonio Torralba, Daniela Rus
Open-Set Detection, Tracking, and Following in Real-Time. IEEE Robotics Autom. Lett. 9 (4) (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)
Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning. CoRR (2024)
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC (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)
Mónika Farsang, Mathias Lechner, David Lung, Ramin M. Hasani, Daniela Rus, Radu Grosu
Learning with Chemical versus Electrical Synapses Does it Make a Difference? ICRA (2024)
Sizhe Lester Li, Annan Zhang, Boyuan Chen, Hanna Matusik, Chao Liu, Daniela Rus, Vincent Sitzmann
Unifying 3D Representation and Control of Diverse Robots with a Single Camera. CoRR (2024)
Zach J. Patterson, Wei Xiao, Emily Sologuren, Daniela Rus
Safe Control for Soft-Rigid Robots with Self-Contact Using Control Barrier Functions. RoboSoft (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)
Wei Wang, David Fernández-Gutiérrez, Rens M. Doornbusch, Joshua Jordan, Tixiao Shan, Pietro Leoni, Niklas Hagemann, Jonathan Klein Schiphorst, Fabio Duarte, Carlo Ratti, Daniela Rus
Roboat III: An autonomous surface vessel for urban transportation. J. Field Robotics 40 (8) (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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Daniela Rus