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Daniela L. Rus
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- affiliation: MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2023
[j177]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)- [j176]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) - [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) - [c506]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 - [c505]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. ICLR 2023 - [c504]Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier:
Solving Continuous Control via Q-learning. ICLR 2023 - [c503]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 - [c502]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. ICML 2023: 22649-22674 - [c501]Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus:
AutoCoreset: An Automatic Practical Coreset Construction Framework. ICML 2023: 23451-23466 - [c500]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 - [c499]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 - [c498]Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. ICRA 2023: 961-967 - [c497]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 - [c496]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 - [c495]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 - [c494]Suzanna Jiwani, Xiao Li, Sertac Karaman, Daniela Rus:
Risk-Aware Neural Navigation From BEV Input for Interactive Driving. ICRA 2023: 5659-5665 - [c493]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 - [c492]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 - [c491]Noam Buckman, Sertac Karaman, Daniela Rus:
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. IV 2023: 1-8 - [c490]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 - [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 - [i132]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation Fixes Dataset Reconstruction Attacks. CoRR abs/2302.01428 (2023) - [i131]Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
Dataset Distillation with Convexified Implicit Gradients. CoRR abs/2302.06755 (2023) - [i130]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) - [i129]Ross E. Allen, Wei Xiao, Daniela Rus:
Learned Risk Metric Maps for Kinodynamic Systems. CoRR abs/2302.14803 (2023) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - [i124]Noam Buckman, Sertac Karaman, Daniela Rus:
Studying the Impact of Semi-Cooperative Drivers on Overall Highway Flow. CoRR abs/2304.11693 (2023) - [i123]Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus:
AutoCoreset: An Automatic Practical Coreset Construction Framework. CoRR abs/2305.11980 (2023) - [i122]Alaa Maalouf, Murad Tukan, Noel Loo, Ramin M. Hasani, Mathias Lechner, Daniela Rus:
On the Size and Approximation Error of Distilled Sets. CoRR abs/2305.14113 (2023) - [i121]Xiao Li, Igor Gilitschenski, Guy Rosman, Sertac Karaman, Daniela Rus:
Multi-Abstractive Neural Controller: An Efficient Hierarchical Control Architecture for Interactive Driving. CoRR abs/2305.14797 (2023) - [i120]Wei Xiao, Tsun-Hsuan Wang, Chuang Gan, Daniela Rus:
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models. CoRR abs/2306.00148 (2023) - [i119]David Matthews, Andrew Spielberg, Daniela Rus, Sam Kriegman, Josh C. Bongard:
Efficient automatic design of robots. CoRR abs/2306.03263 (2023) - [i118]Sadhana Lolla, Iaroslav Elistratov, Alejandro Perez, Elaheh Ahmadi, Daniela Rus, Alexander Amini:
Capsa: A Unified Framework for Quantifying Risk in Deep Neural Networks. CoRR abs/2308.00231 (2023) - [i117]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 abs/2308.05737 (2023) - [i116]Wei Xiao, Ross E. Allen, Daniela Rus:
Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions. CoRR abs/2309.04492 (2023) - [i115]Chao Liu, Andrea Moncada, Hanna Matusik, Deniz Irem Erus, Daniela Rus:
A Modular Bio-inspired Robotic Hand with High Sensitivity. CoRR abs/2309.16081 (2023) - [i114]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 abs/2310.02875 (2023) - [i113]Neehal Tumma, Mathias Lechner, Noel Loo, Ramin M. Hasani, Daniela Rus:
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control. CoRR abs/2310.03915 (2023) - [i112]Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus:
Local Non-Cooperative Games with Principled Player Selection for Scalable Motion Planning. CoRR abs/2310.12958 (2023) - [i111]Maximilian Stölzle, Daniela Rus, Cosimo Della Santina:
An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots. CoRR abs/2310.13889 (2023) - [i110]Hanna Matusik, Chao Liu, Daniela Rus:
Directly 3D Printed, Pneumatically Actuated Multi-Material Robotic Hand. CoRR abs/2310.16280 (2023) - [i109]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 abs/2310.17642 (2023) - [i108]Zach J. Patterson, Wei Xiao, Emily Sologuren, Daniela Rus:
Safe Control for Soft-Rigid Robots with Self-Contact using Control Barrier Functions. CoRR abs/2311.03189 (2023) - [i107]Zach J. Patterson, Cosimo Della Santina, Daniela Rus:
Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots. CoRR abs/2311.05362 (2023) - 2022
- [j162]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus:
Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(11): 992-1003 (2022) - [j161]Ramin M. Hasani, Mathias Lechner, Alexander Amini, Lucas Liebenwein, Aaron Ray, Max Tschaikowski, Gerald Teschl, Daniela Rus:
Publisher Correction: Closed-form continuous-time neural networks. Nat. Mac. Intell. 4(12): 1267 (2022) - [j160]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): 984-991 (2022) - [j159]Brandon Araki, Jeana Choi, Lillian Chin, Xiao Li, Daniela Rus:
Learning Policies by Learning Rules. IEEE Robotics Autom. Lett. 7(2): 1284-1291 (2022) - [j158]Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus:
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7(2): 3265-3272 (2022) - [j157]Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, Thomas M. Ward, Daniel A. Hashimoto, Taisei Kondo, Hidekazu Iwaki, Ozanan R. Meireles, Daniela Rus:
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. IEEE Robotics Autom. Lett. 7(2): 5741-5748 (2022) - [j156]Yechao Bai, Xiaogang Wang, Marcelo H. Ang Jr., Daniela Rus:
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling. IEEE Robotics Autom. Lett. 7(3): 7447-7454 (2022) - [j155]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): 8355-8362 (2022) - [j154]Joseph DelPreto, Josie Hughes, Matteo D'Aria, Marco De Fazio, Daniela Rus:
A Wearable Smart Glove and Its Application of Pose and Gesture Detection to Sign Language Classification. IEEE Robotics Autom. Lett. 7(4): 10589-10596 (2022) - [j153]Annan Zhang, Ryan L. Truby, Lillian Chin, Shuguang Li, Daniela Rus:
Vision-Based Sensing for Electrically-Driven Soft Actuators. IEEE Robotics Autom. Lett. 7(4): 11509-11516 (2022) - [j152]Noam Buckman, Alex Hansen, Sertac Karaman, Daniela Rus:
Evaluating Autonomous Urban Perception and Planning in a 1/10th Scale MiniCity. Sensors 22(18): 6793 (2022) - [j151]Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus:
Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. 4(1): 26-45 (2022) - [j150]Hongliang Guo, Zhi He, Chen Gao, Daniela Rus:
Navigation With Time Limits in Transportation Networks: A Fourth Moment Approach. IEEE Trans. Intell. Transp. Syst. 23(12): 23781-23796 (2022) - [j149]Tao Du, Kui Wu, Pingchuan Ma, Sebastien Wah, Andrew Spielberg, Daniela Rus, Wojciech Matusik:
DiffPD: Differentiable Projective Dynamics. ACM Trans. Graph. 41(2): 13:1-13:21 (2022) - [j148]Hongliang Guo, Rui Shi, Daniela Rus, Wei-Yun Yau:
Dual Dynamic Programming for the Mean Standard Deviation Canadian Traveller Problem. IEEE Trans. Veh. Technol. 71(11): 11465-11479 (2022) - [c486]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: 6755-6764 - [c485]Wei Xiao, Christos G. Cassandras, Calin A. Belta, Daniela Rus:
Control Barrier Functions for Systems with Multiple Control Inputs. ACC 2022: 2221-2226 - [c484]Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus:
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS 2022: 1744-1746 - [c483]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: 175:1-175:13 - [c482]David Fernández-Gutiérrez, Niklas Hagemann, Wei Wang, Rens M. Doornbusch, Joshua Jordan, Jonathan Schiphorst, Pietro Leoni, Fabio Duarte, Carlo Ratti, Daniela Rus:
Design of an Autonomous Latching System for Surface Vessels. ICRA 2022: 1099-1105 - [c481]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: 2419-2426 - [c480]Allan Zhao, Jie Xu, Juan Salazar, Wei Wang, Pingchuan Ma, Daniela Rus, Wojciech Matusik:
Graph Grammar-Based Automatic Design for Heterogeneous Fleets of Underwater Robots. ICRA 2022: 3143-3149 - [c479]John Romanishin, James M. Bern, Daniela Rus:
Self-Reconfiguring Robotic Gantries Powered by Modular Magnetic Lead Screws. ICRA 2022: 4225-4231 - [c478]James M. Bern, Fatemeh Zargarbashi, Annan Zhang, Josie Hughes, Daniela Rus:
Simulation and Fabrication of Soft Robots with Embedded Skeletons. ICRA 2022: 5205-5211 - [c477]Aaron Ray, Alyssa Pierson, Daniela Rus:
Free-Space Ellipsoid Graphs for Multi-Agent Target Monitoring. ICRA 2022: 6860-6866 - [c476]Axel Brunnbauer, Luigi Berducci, Andreas Brandstätter, Mathias Lechner, Ramin M. Hasani, Daniela Rus, Radu Grosu:
Latent Imagination Facilitates Zero-Shot Transfer in Autonomous Racing. ICRA 2022: 7513-7520 - [c475]Tsun-Hsuan Wang, Alexander Amini, Wilko Schwarting, Igor Gilitschenski, Sertac Karaman, Daniela Rus:
Learning Interactive Driving Policies via Data-driven Simulation. ICRA 2022: 7745-7752 - [c474]Yutong Ban, Xiao Li, Guy Rosman, Igor Gilitschenski, Ozanan R. Meireles, Sertac Karaman, Daniela Rus:
A Deep Concept Graph Network for Interaction-Aware Trajectory Prediction. ICRA 2022: 8992-8998 - [c473]Cameron Duffield, Abigail F. Smith, Daniela Rus, Dana D. Damian, Shuhei Miyashita:
Wirelessly Magnetically Actuated Motor for Tissue Regeneration Robotic Implant. IROS 2022: 465-471 - [c472]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: 11260-11267 - [c471]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: 954-967 - [c470]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: 1006-1019 - [c469]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 - [c468]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Evolution of Neural Tangent Kernels under Benign and Adversarial Training. NeurIPS 2022 - [c467]Noel Loo, Ramin M. Hasani, Alexander Amini, Daniela Rus:
Efficient Dataset Distillation using Random Feature Approximation. NeurIPS 2022 - [c466]Daniela Rus:
Keynote: One Robot for Every Task. PerCom 2022: 163 - [c465]James M. Bern, Leonardo Zamora Yañez, Emily Sologuren, Daniela Rus:
Contact-Rich Soft-Rigid Robots Inspired by Push Puppets. RoboSoft 2022: 607-613 - [i106]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. CoRR abs/2202.13402 (2022) - [i105]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 abs/2203.02401 (2022) - [i104]Wei Xiao, Christos G. Cassandras, Calin A. Belta, Daniela Rus:
Control Barrier Functions for Systems with Multiple Control Inputs. CoRR abs/2203.07978 (2022) - [i103]José L. Vázquez, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool:
Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models. CoRR abs/2204.02392 (2022) - [i102]Mathias Lechner, Alexander Amini, Daniela Rus, Thomas A. Henzinger:
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning. CoRR abs/2204.07373 (2022) - [i101]Zahra Babaiee, Lucas Liebenwein, Ramin M. Hasani, Daniela Rus, Radu Grosu:
End-to-End Sensitivity-Based Filter Pruning. CoRR abs/2204.07412 (2022) - [i100]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. CoRR abs/2205.09117 (2022) - [i99]Zhijian Liu, Haotian Tang, Alexander Amini, Xinyu Yang, Huizi Mao, Daniela Rus, Song Han:
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation. CoRR abs/2205.13542 (2022) - [i98]Aaron Ray, Alyssa Pierson, Daniela Rus:
Free-Space Ellipsoid Graphs for Multi-Agent Target Monitoring. CoRR abs/2205.15473 (2022) - [i97]Aaron Ray, Alyssa Pierson, Hai Zhu, Javier Alonso-Mora, Daniela Rus:
Multi-robot Task Assignment for Aerial Tracking with Viewpoint Constraints. CoRR abs/2205.15483 (2022) - [i96]Mathias Lechner, Ramin M. Hasani, Zahra Babaiee, Radu Grosu, Daniela Rus, Thomas A. Henzinger, Sepp Hochreiter:
Entangled Residual Mappings. CoRR abs/2206.01261 (2022) - [i95]Yechao Bai, Xiaogang Wang, Marcelo H. Ang Jr., Daniela Rus:
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling. CoRR abs/2206.12648 (2022) - [i94]Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman:
Deep Learning on Home Drone: Searching for the Optimal Architecture. CoRR abs/2209.11064 (2022) - [i93]Ramin M. Hasani, Mathias Lechner, Tsun-Hsuan Wang, Makram Chahine, Alexander Amini, Daniela Rus:
Liquid Structural State-Space Models. CoRR abs/2209.12951 (2022) - [i92]Makram Chahine, Roya Firoozi, Wei Xiao, Mac Schwager, Daniela Rus:
Intention Communication and Hypothesis Likelihood in Game-Theoretic Motion Planning. CoRR abs/2209.12968 (2022) - [i91]