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ORCIDDaniela Rus
Daniela L. Rus
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
[j183]Gwangbin Kim
, Seokhyun Hwang, Minwoo Seong, Dohyeon Yeo, Daniela Rus, Seungjun Kim:
TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 109:1-109:60 (2024)- [j182]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): 1334-1341 (2024) - [j181]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. IEEE Robotics Autom. Lett. 9(4): 3283-3290 (2024) - [j180]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): 264-274 (2024) - [c541]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. ICLR 2024 - [c540]Noel Loo, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation. ICLR 2024 - [c539]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 - [c538]Noel Loo, Alaa Maalouf, Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus:
Large Scale Dataset Distillation with Domain Shift. ICML 2024 - [c537]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. ICML 2024 - [c536]Pascal Spino, Daniela Rus:
Towards Centimeter-Scale Underwater Mobile Robots: An Architecture for Capable µAUVs. ICRA 2024: 1484-1490 - [c535]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: 2774-2782 - [c534]Hanna Matusik, Chao Liu, Daniela Rus:
Directly 3D Printed, Pneumatically Actuated Multi-Material Robotic Hand. ICRA 2024: 2986-2992 - [c533]Annan Zhang, Lillian Chin, Daniel L. Tong, Daniela Rus:
Embedded air channels transform soft lattices into sensorized grippers. ICRA 2024: 5264-5270 - [c532]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: 6089-6095 - [c531]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: 6687-6694 - [c530]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: 10359-10365 - [c529]Steven Ceron, Wei Xiao, Daniela Rus:
Reciprocal and Non-Reciprocal Swarmalators with Programmable Locomotion and Formations for Robot Swarms. ICRA 2024: 12233-12239 - [c528]Zach J. Patterson, Cosimo Della Santina, Daniela Rus:
Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots. ICRA 2024: 14995-15001 - [c527]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: 15106-15112 - [c526]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: 18164-18171 - [c525]Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus:
Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC 2024: 1646-1661 - [c524]Zach J. Patterson, Wei Xiao, Emily Sologuren, Daniela Rus:
Safe Control for Soft-Rigid Robots with Self-Contact Using Control Barrier Functions. RoboSoft 2024: 151-156 - [c523]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: 276-283 - [c522]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: 392-399 - [c521]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. WACV 2024: 8201-8210 - [i159]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 abs/2401.08602 (2024) - [i158]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields. CoRR abs/2401.10178 (2024) - [i157]Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus, Shirley Coyle, Cosimo Della Santina:
Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control. CoRR abs/2401.13441 (2024) - [i156]Zahra Babaiee, Peyman M. Kiasari, Daniela Rus, Radu Grosu:
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels. CoRR abs/2401.14469 (2024) - [i155]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 abs/2402.01974 (2024) - [i154]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 abs/2404.01750 (2024) - [i153]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 abs/2404.01924 (2024) - [i152]Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus:
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR abs/2404.04253 (2024) - [i151]Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus:
Probing Multimodal LLMs as World Models for Driving. CoRR abs/2405.05956 (2024) - [i150]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 abs/2405.09783 (2024) - [i149]Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low:
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning. CoRR abs/2405.14899 (2024) - [i148]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 abs/2405.15059 (2024) - [i147]Phat Nguyen, Tsun-Hsuan Wang, Zhang-Wei Hong, Sertac Karaman, Daniela Rus:
Text-to-Drive: Diverse Driving Behavior Synthesis via Large Language Models. CoRR abs/2406.04300 (2024) - [i146]Wei Xiao, Tsun-Hsuan Wang, Daniela Rus:
ABNet: Attention BarrierNet for Safe and Scalable Robot Learning. CoRR abs/2406.13025 (2024) - [i145]Alex Quach, Makram Chahine, Alexander Amini, Ramin M. Hasani, Daniela Rus:
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks. CoRR abs/2406.15149 (2024) - [i144]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 abs/2407.08722 (2024) - [i143]Zach J. Patterson, Emily Sologuren, Cosimo Della Santina, Daniela Rus:
Design and Control of Modular Soft-Rigid Hybrid Manipulators with Self-Contact. CoRR abs/2408.09275 (2024) - [i142]Huy-Dung Nguyen, Anass Bairouk, Mirjana Maras, Wei Xiao, Tsun-Hsuan Wang, Patrick Chareyre, Ramin M. Hasani, Marc Blanchon, Daniela Rus:
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference. CoRR abs/2409.10095 (2024) - [i141]Fouad Makiyeh, Mark Bastourous, Anass Bairouk, Wei Xiao, Mirjana Maras, Tsun-Hsuan Wang, Marc Blanchon, Ramin M. Hasani, Patrick Chareyre, Daniela Rus:
Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering. CoRR abs/2409.12716 (2024) - [i140]Makram Chahine, T. Konstantin Rusch, Zach J. Patterson, Daniela Rus:
Improving Efficiency of Sampling-based Motion Planning via Message-Passing Monte Carlo. CoRR abs/2410.03909 (2024) - [i139]Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik:
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. CoRR abs/2410.03920 (2024) - [i138]T. Konstantin Rusch, Daniela Rus:
Oscillatory State-Space Models. CoRR abs/2410.03943 (2024) - [i137]Peter Werner, Thomas Cohn, Rebecca H. Jiang, Tim Seyde, Max Simchowitz, Russ Tedrake, Daniela Rus:
Faster Algorithms for Growing Collision-Free Convex Polytopes in Robot Configuration Space. CoRR abs/2410.12649 (2024) - [i136]Makram Chahine, Alex Quach, Alaa Maalouf, Tsun-Hsuan Wang, Daniela Rus:
Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models. CoRR abs/2410.13002 (2024) - [i135]Varun Murali, Guy Rosman, Sertac Karaman, Daniela Rus:
Learning autonomous driving from aerial imagery. CoRR abs/2410.14177 (2024) - 2023
- [j179]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): 901-916 (2023) - [j178]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): 104:1-104:26 (2023) - [j177]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): 1996-2009 (2023) - [j176]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:
Cover Image, Volume 40, Number 8, December 2023. J. Field Robotics 40(8): i (2023) - [j175]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): 7820-7835 (2023) - [j174]Lillian Chin, Max Burns, Gregory Xie, Daniela Rus:
Flipper-Style Locomotion Through Strong Expanding Modular Robots. IEEE Robotics Autom. Lett. 8(2): 528-535 (2023) - [j173]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): 974-980 (2023) - [j172]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): 1223-1230 (2023) - [j171]Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger:
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. IEEE Robotics Autom. Lett. 8(3): 1595-1602 (2023) - [j170]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): 4737-4744 (2023) - [j169]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): 5712-5719 (2023) - [j168]Andrew Spielberg, Tao Du, Yuanming Hu, Daniela Rus, Wojciech Matusik:
Advanced soft robot modeling in ChainQueen. Robotica 41(1): 74-104 (2023) - [j167]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) - [j166]Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman:
Least-Mean-Squares Coresets for Infinite Streams. IEEE Trans. Knowl. Data Eng. 35(9): 8699-8712 (2023) - [j165]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): 2289-2307 (2023) - [j164]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): 2569-2584 (2023) - [j163]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): 1431-1445 (2023) - [c520]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: 14964-14973 - [c519]Wei Xiao, Ross E. Allen, Daniela Rus:
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CDC 2023: 3366-3371 - [c518]Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus:
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL 2023: 602-641 - [c517]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: 1667-1685 - [c516]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. ICLR 2023 - [c515]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. ICLR 2023 - [c514]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 - [c513]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. ICML 2023: 22649-22674 - [c512]Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus:
AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML 2023: 23451-23466 - [c511]Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman:
Provable Data Subset Selection For Efficient Neural Networks Training. ICML 2023: 34533-34555 - [c510]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: 38100-38124 - [c509]Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. ICRA 2023: 961-967 - [c508]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela L. Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. ICRA 2023: 2774-2781 - [c507]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: 3109-3115 - [c506]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: 3576-3583 - [c505]Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus:
Risk-Aware Neural Navigation From BEV Input for Interactive Driving. ICRA 2023: 5659-5665 - [c504]Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman:
Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA 2023: 8208-8215 - [c503]Chen Zhang, Zefan Huang, Beatrix Xue Lin Tung, Marcelo H. Ang, Daniela Rus:
SmartRainNet: Uncertainty Estimation For Laser Measurement in Rain. ICRA 2023: 10567-10573 - [c502]Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus:
Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning. IROS 2023: 880-887 - [c501]Annan Zhang, Tsun-Hsuan Wang, Ryan L. Truby, Lillian Chin, Daniela Rus:
Machine Learning Best Practices for Soft Robot Proprioception. IROS 2023: 2564-2571 - [c500]Junyi Han, Daniela Rus, Shuhei Miyashita:
Roblets: Robotic Tablets That Self-Assemble and Self-Fold into a Robot. IROS 2023: 4709-4714 - [c499]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: 6334-6341 - [c498]Chen Zhang, Zefan Huang, Marcelo H. Ang, Daniela Rus:
LiDAR Missing Measurement Detection for Autonomous Driving in Rain. IROS 2023: 7393-7399 - [c497]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: 7400-7406 - [c496]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: 8337-8342 - [c495]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: 9691-9698 - [c494]Noam Buckman, Sertac Karaman, Daniela Rus:
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. IV 2023: 1-8 - [c493]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: 1099-1111 - [c492]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 - [c491]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Datasets. NeurIPS 2023 - [c490]Tsun-Hsuan Johnson 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. NeurIPS 2023 - [c489]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: 1-8 - [c488]Chao Liu, Andrea Moncada, Hanna Matusik, Deniz Irem Erus, Daniela Rus:
A Modular Bio-inspired Robotic Hand with High Sensitivity. RoboSoft 2023: 1-7 - [c487]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: 1-8 - [i134]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR abs/2302.01428 (2023) - [i133]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. CoRR abs/2302.06755 (2023) - [i132]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 abs/2302.08100 (2023) - [i131]Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. CoRR abs/2302.14803 (2023) - [i130]Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman:
Provable Data Subset Selection For Efficient Neural Network Training. CoRR abs/2303.05151 (2023) - [i129]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 abs/2303.09555 (2023) - [i128]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 abs/2303.12224 (2023) - [i127]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 abs/2304.02733 (2023) - [i126]