S. P. Bangaru, T.-M. Li, and F. Durand, “Unbiased Warped-Area Sampling for Differentiable Rendering,” ACM Trans. Graph, vol. 39, no. 6, p. 18, Dec. 2020, doi: 10.1145/3414685.3417833. [Online]. Available: https://doi.org/10.1145/3414685.3417833

Alexander Amini, Wilko Schwarting, Ava Soleimany, Sertac Karaman, and Daniela Rus, “Deep Evidential Regression,” in NeurIPS 2020 (accepted), 2020.

Xiao Li, Guy Rosman, Igor Gilitschenski, Jon DeCastro, Cristi-Ioan Vasile, Sertac Karaman, and Daniela Rus, “Differentiable Logic Layer for Rule Guided Trajectory Prediction,” in CoRL 2020 (accepted), 2020.

Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, and Daniela Rus, “Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space,” in CoRL 2020 (accepted), 2020.

C. Wang, S. Wang, B. Romero, F. Veiga, and E. Adelson, “SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation,” in IROS 2020 (accepted), 2020.

Y.-L. Kuo, B. Katz, and A. Barbu, “Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas,” in IROS 2020 (accepted), 2020.

I. Gilitschenski, G. Rosman, A. Gupta, S. Karaman, and D. Rus, “Deep Context Maps: Agent Trajectory Prediction Using Location-Specific Latent Maps,” IEEE Robot. Autom. Lett., vol. 5, no. 4, pp. 5097–5104, Oct. 2020, doi: 10.1109/LRA.2020.3004800. [Online]. Available: https://doi.org/10.1109/LRA.2020.3004800

T. Dudzik, M. Chignoli, G. Bledt, B. W. T. Lim, A. Miller, D. Kim, and S. Kim, “Robust Autonomous Navigation of a Small-Scale Quadruped Robot in Real-World Environments,” in IROS 2020, 2020.

A. Amini, J. I. Lipton, and D. Rus, “Uncertainty Aware Texture Classification and Mapping Using Soft Tactile Sensors,” in IROS 2020 (accepted), 2020.

Y. Wang, A. Fathi, A. Kundu, D. Ross, C. Pantofaru, T. Funkhouser, and J. Solomon, “Pillar-based Object Detection for Autonomous Driving,” in ECCV 2020, 2020 [Online]. Available: https://link.springer.com/conference/eccv

B. Wolfe, B. D. Sawyer, and R. Rosenholtz, “Toward a Theory of Visual Information Acquisition in Driving,” Hum Factors, p. 001872082093969, Jul. 2020, doi: 10.1177/0018720820939693. [Online]. Available: https://doi.org/10.1177/0018720820939693

S. Dong, S. Wang, Y. She, N. Sunil, A. Rodriguez, and E. Adelson, “Cable Manipulation with a Tactile-Reactive Gripper,” in Robotics: Science and Systems XVI, 2020, doi: 10.15607/RSS.2020.XVI.029 [Online]. Available: https://doi.org/10.15607/RSS.2020.XVI.029

Y. Li, T. Lin, K. Yi, D. M. Bear, D. L. K. Yamins, J. Wu, J. B. Tenenbaum, and A. Torralba, “Visual Grounding of Learned Physical Models,” in ICML 2020, 2020 [Online]. Available: https://icml.cc/Conferences/2020/ScheduleMultitrack?event=6550

S. Chou, F. Kjolstad, and S. Amarasinghe, “Automatic generation of efficient sparse tensor format conversion routines,” in Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation, London UK, 2020, pp. 823–838, doi: 10.1145/3385412.3385963 [Online]. Available: https://doi.org/10.1145/3385412.3385963

Y. She, S. Q. Liu, P. Yu, and E. Adelson, “Exoskeleton-Covered Soft Finger with Vision-Based Proprioception and Tactile Sensing,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9197369 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9197369

B. Romero, F. Veiga, and E. Adelson, “Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulation,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 4796–4802, doi: 10.1109/ICRA40945.2020.9196909 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9196909

A. Pierson, W. Schwarting, S. Karaman, and D. Rus, “Weighted Buffered Voronoi Cells for Distributed Semi-Cooperative Behavior,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9196686 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9196686

Y.-L. Kuo, B. Katz, and A. Barbu, “Deep compositional robotic planners that follow natural language commands,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9197464 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9197464

A. Kloss, M. Bauza, J. Wu, J. B. Tenenbaum, A. Rodriguez, and J. Bohg, “Accurate Vision-based Manipulation through Contact Reasoning,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6738–6744, doi: 10.1109/ICRA40945.2020.9197409 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9197409

D. Kim, D. Carballo, J. D. Carlo, B. Katz, G. Bledt, B. W. T. Lim, and S. Kim, “Vision Aided Dynamic Exploration of Unstructured Terrain with a Small-Scale Quadruped Robot,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9196777 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9196777

F. Hogan, J. Ballester, S. Dong, and A. Rodriguez, “Tactile Dexterity: Manipulation Primitives with Tactile Feedback,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9196976 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9196976

F. Grondin, H. Tang, and J. Glass, “Audio-Visual Calibration with Polynomial Regression for 2-D Projection Using SVD-PHAT,” in ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 4856–4860, doi: 10.1109/ICASSP40776.2020.9054690 [Online]. Available: https://doi.org/10.1109/ICASSP40776.2020.9054690

N. Buckman, A. Pierson, S. Karaman, and D. Rus, “Generating Visibility-Aware Trajectories for Cooperative and Proactive Motion Planning,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, doi: 10.1109/ICRA40945.2020.9196809 [Online]. Available: https://doi.org/10.1109/ICRA40945.2020.9196809

T. Ort, K. Murthy, R. Banerjee, S. K. Gottipati, D. Bhatt, I. Gilitschenski, L. Paull, and D. Rus, “MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map,” IEEE Robot. Autom. Lett., vol. 5, no. 2, pp. 556–563, Apr. 2020, doi: 10.1109/LRA.2019.2961051. [Online]. Available: https://doi.org/10.1109/LRA.2019.2961051

D. Harwath, W.-N. Hsu, and J. Glass, “LEARNING HIERARCHICAL DISCRETE LINGUISTIC UNITS FROM VISUALLY-GROUNDED SPEECH,” in ICLR 2020, 2020 [Online]. Available: https://iclr.cc/virtual_2020/poster_B1elCp4KwH.html

A. Amini, I. Gilitschenski, J. Phillips, J. Moseyko, R. Banerjee, S. Karaman, and D. Rus, “Learning Robust Control Policies for End-to-End Autonomous Driving From Data-Driven Simulation,” IEEE Robot. Autom. Lett., vol. 5, no. 2, pp. 1143–1150, Apr. 2020, doi: 10.1109/LRA.2020.2966414. [Online]. Available: https://doi.org/10.1109/LRA.2020.2966414

I. Yildirim, M. Belledonne, W. Freiwald, and J. Tenenbaum, “Efficient inverse graphics in biological face processing,” Science Advances, vol. 6, no. 10, Mar. 2020, doi: 10.1126/sciadv.aax5979. [Online]. Available: https://doi.org/10.1126/sciadv.aax5979

T. Seyde, W. Schwarting, S. Karaman, and D. Rus, “Learning to Plan via Deep Optimistic Value Exploration,” Proceedings of Machine Learning Research, vol. 120, pp. 1–11, 2020 [Online]. Available: http://proceedings.mlr.press/v120/seyde20a.html

J. P. Inala, A. Solar-Lezama, O. Bastani, and Z. Tavares, “SYNTHESIZING PROGRAMMATIC POLICIES THAT INDUCTIVELY GENERALIZE,” in ICLR 2020, 2020, p. 21 [Online]. Available: https://iclr.cc/virtual_2020/poster_S1l8oANFDH.html

Y. Hu, L. Anderson, T.-M. Li, Q. Sun, N. Carr, J. Ragan-Kelley, and F. Durand, “DIFFTAICHI: DIFFERENTIABLE PROGRAMMING FOR PHYSICAL SIMULATION,” in ICLR 2020, 2020 [Online]. Available: https://iclr.cc/virtual_2020/poster_B1eB5xSFvr.html

L. H. Gilpin, “Anomaly Detection through Explanations,” PhD, MIT, 2020.

I. Gilitschenski, R. Sahoo, W. Schwarting, A. Amini, S. Karaman, and D. Rus, “DEEP ORIENTATION UNCERTAINTY LEARNING BASED ON A BINGHAM LOSS,” in ICLR 2020, 2020 [Online]. Available: https://iclr.cc/virtual_2020/poster_ryloogSKDS.html

E. B. Boumhaout, “A CAD Tool for Supermind Design,” Masters of Engineering (M.Eng.) Thesis, EECS, MIT, 2020.

W. Schwarting, A. Pierson, J. Alonso-Mora, S. Karaman, and D. Rus, “Social behavior for autonomous vehicles,” Proc Natl Acad Sci USA, vol. 116, no. 50, pp. 24972–24978, Dec. 2019, doi: 10.1073/pnas.1820676116. [Online]. Available: https://doi.org/10.1073/pnas.1820676116

M. Abu-Khalaf, S. Karaman, and D. Rus, “Shared Linear Quadratic Regulation Control: A Reinforcement Learning Approach,” in 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 4569–4576, doi: 10.1109/CDC40024.2019.9029617 [Online]. Available: https://doi.org/10.1109/CDC40024.2019.9029617

D. Park, M. Noseworthy, R. Paul, S. Roy, and N. Roy, “Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning,” in CorL 2019, 2019, vol. 100, pp. 1005–1014 [Online]. Available: http://proceedings.mlr.press/v100/park20a.html

M. Noseworthy, R. Paul, S. Roy, D. Park, and N. Roy, “Task-Conditioned Variational Autoencoders for Learning Movement Primitives,” in CoRL 2019, 2019, vol. 100, pp. 933–944 [Online]. Available: http://proceedings.mlr.press/v100/noseworthy20a.html

Y. Hu, T.-M. Li, L. Anderson, J. Ragan-Kelley, and F. Durand, “Taichi: a language for high-performance computation on spatially sparse data structures,” ACM Trans. Graph., vol. 38, no. 6, pp. 1–16, Nov. 2019, doi: 10.1145/3355089.3356506. [Online]. Available: https://doi.org/10.1145/3355089.3356506

Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon, “Dynamic Graph CNN for Learning on Point Clouds,” ACM Trans. Graph., vol. 38, no. 5, pp. 1–12, Nov. 2019, doi: 10.1145/3326362. [Online]. Available: https://doi.org/10.1145/3326362

F. Naser, I. Gilitschenski, A. Amini, C. Liao, G. Rosman, S. Karaman, and D. Rus, “Infrastructure-free NLoS Obstacle Detection for Autonomous Cars,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 250–257, doi: 10.1109/IROS40897.2019.8967554 [Online]. Available: https://doi.org/10.1109/IROS40897.2019.8967554

F. Grondin and J. Glass, “Fast and Robust 3-D Sound Source Localization with DSVD-PHAT,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 5352–5357, doi: 10.1109/IROS40897.2019.8967690 [Online]. Available: https://doi.org/10.1109/IROS40897.2019.8967690

S. Dong and A. Rodriguez, “Tactile-Based Insertion for Dense Box-Packing,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 7953–7960, doi: 10.1109/IROS40897.2019.8968204 [Online]. Available: https://doi.org/10.1109/IROS40897.2019.8968204

N. Buckman, A. Pierson, W. Schwarting, S. Karaman, and D. Rus, “Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 6136–6143, doi: 10.1109/IROS40897.2019.8967997 [Online]. Available: https://doi.org/10.1109/IROS40897.2019.8967997

Y. Wang and J. Solomon, “Deep Closest Point: Learning Representations for Point Cloud Registration,” in 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), 2019, pp. 3522–3531, doi: 10.1109/ICCV.2019.00362 [Online]. Available: https://doi.org/10.1109/ICCV.2019.00362

L. Wang and B. K. P. Horn,, “On the Chain Stability of Bilateral Control Model,” IEEE Trans. Automat. Contr., vol. 65, no. 8, pp. 3397–3408, Oct. 2019, doi: 10.1109/TAC.2019.2945877. [Online]. Available: https://doi.org/10.1109/TAC.2019.2945877

S. G. McGill, G. Rosman, T. Ort, A. Pierson, I. Gilitschenski, B. Araki, L. Fletcher, S. Karaman, D. Rus, and J. J. Leonard, “Probabilistic Risk Metrics for Navigating Occluded Intersections,” IEEE Robot. Autom. Lett., vol. 4, no. 4, pp. 4322–4329, Oct. 2019, doi: 10.1109/LRA.2019.2931823. [Online]. Available: https://doi.org/10.1109/LRA.2019.2931823

P. Kellnhofer, A. Recasens, S. Stent, W. Matusik, and A. Torralba, “Gaze360: Physically Unconstrained Gaze Estimation in the Wild,” in ICCV 2019, 2019, doi: 10.1109/ICCV.2019.00701 [Online]. Available: https://doi.org/10.1109/ICCV.2019.00701

X. Du, M. H. A. Jr, S. Karaman, and D. Rus, “A Unified Pipeline for 3D Detection and Velocity Estimation of Vehicles,” in ISRR 2019, 2019 [Online]. Available: https://ras.papercept.net/conferences/conferences/ISRR19/program/ISRR19_ContentListWeb_3.html

B. Araki, I. Gilitschenski, T. Ogata, A. Wallar, W. Schwarting, Z. Choudhury, S. Karaman, and D. Rus, “Range-based Cooperative Localization with Nonlinear Observability Analysis,” in The 22nd Intelligent Transportation Systems Conference (ITSC2019), 2019 [Online]. Available: https://www.itsc2019.org

F. Grondin and J. Glass, “Multiple Sound Source Localization with SVD-PHAT,” in Interspeech 2019, 2019, pp. 2698–2702, doi: 10.21437/Interspeech.2019-2653 [Online]. Available: http://www.isca-speech.org/archive/Interspeech_2019/abstracts/2653.html

D. Harwath, A. Recasens, D. Surıs, G. Chuang, A. Torralba, and J. Glass, “Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input,” International Journal of Computer Vision, Aug. 2019, doi: 10.1007/s11263-019-01205-0. [Online]. Available: https://doi.org/10.1007/s11263-019-01205-0

N. Bhargava and B. C. Williams, “Faster Dynamic Controllability Checking in Temporal Networks with Integer Bounds,” in Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, Macao, China, 2019, pp. 5509–5515, doi: 10.24963/ijcai.2019/765 [Online]. Available: https://www.ijcai.org/proceedings/2019/765

B. Wolfe, B. Seppelt, B. Mehler, B. Reimer, and R. Rosenholtz, “Rapid holistic perception and evasion of road hazards.,” Journal of Experimental Psychology: General, Jul. 2019, doi: 10.1037/xge0000665. [Online]. Available: https://doi.org/10.1037/xge0000665

M. Gharbi, T.-M. Li, M. Aittala, J. Lehtinen, and F. Durand, “Sample-based Monte Carlo denoising using a kernel-splatting network,” ACM Transactions on Graphics, vol. 38, no. 4, pp. 1–12, Jul. 2019, doi: 10.1145/3306346.3322954. [Online]. Available: https://doi.org/10.1145/3306346.3322954

A. Adams, F. Durand, J. Ragan-Kelley, K. Ma, L. Anderson, R. Baghdadi, T.-M. Li, M. Gharbi, B. Steiner, S. Johnson, and K. Fatahalian, “Learning to optimize halide with tree search and random programs,” ACM Transactions on Graphics, vol. 38, no. 4, pp. 1–12, Jul. 2019, doi: 10.1145/3306346.3322967. [Online]. Available: https://doi.org/10.1145/3306346.3322967

D. Jackson, J. DeCastro, S. Kong, D. Koutentakis, A. Ping, A. Solar-Lezama, M. Wang, and X. Zhang, “Certified Control for Self-Driving Cars,” presented at the 4th Workshop on the Design and Analysis of Robust Systems, 2019 [Online]. Available: https://sites.google.com/view/dars2019/home?authuser=1

B. Wolfe, B. D. Sawyer, A. Kosovicheva, B. Reimer, and R. Rosenholtz, “Detection of brake lights while distracted: Separating peripheral vision from cognitive load,” Attention, Perception, & Psychophysics, Jun. 2019, doi: 10.3758/s13414-019-01795-4. [Online]. Available: https://doi.org/10.3758/s13414-019-01795-4

D. Suris, A. Recasens, D. Bau, D. Harwath, J. Glass, and A. Torralba, “Learning Words by Drawing Images,” in CVPR 2019, 2019 [Online]. Available: http://openaccess.thecvf.com/content_CVPR_2019/papers/Suris_Learning_Words_by_Drawing_Images_CVPR_2019_paper.pdf

S. Gumussoy and M. Abu-Khalaf, “Analytic Solution of a Delay Differential Equation Arising in Cost Functionals for Systems with Distributed Delays,” IEEE Transactions on Automatic Control, Jun. 2019, doi: 10.1109/TAC.2019.2921658. [Online]. Available: https://doi.org/10.1109/TAC.2019.2921658

A. Pierson, W. Schwarting, S. Karaman, and D. Rus, “Learning Risk Level Set Parameters from Data Sets for Safer Driving,” in 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 [Online]. Available: https://its.papercept.net/conferences/conferences/IV2019/program/IV2019_ContentListWeb_2.html

L. H. Gilpin, T. Chen, and L. S. Kagal, “Learning from Explanations for Robust Autonomous Driving,” 2019 [Online]. Available: https://sites.google.com/view/icml2019aiad/accepted-abstracts-and-papers

N. Bhargava and B. C. Williams, “Complexity bounds for the controllability of temporal networks with conditions, disjunctions, and uncertainty,” Artificial Intelligence, vol. 271, pp. 1–17, Jun. 2019, doi: 10.1016/j.artint.2018.11.008. [Online]. Available: https://doi.org/10.1016/j.artint.2018.11.008

L. H. Gilpin and L. Kagal, “A Self-Monitoring Framework for Opaque Machines,” in AAMAS 2019, 2019 [Online]. Available: http://www.ifaamas.org/Proceedings/aamas2019/pdfs/p1982.pdf

N. Bhargava and B. Williams, “Multiagent Disjunctive Temporal Networks,” in Proc. of the 18th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2019), 2019 [Online]. Available: https://dl.acm.org/citation.cfm?id=3331727

F. Grondin and J. Glass, “SVD-PHAT: A FAST SOUND SOURCE LOCALIZATION METHOD,” in 44th International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, 2019, doi: 10.1109/ICASSP.2019.8683253 [Online]. Available: https://doi.org/10.1109/ICASSP.2019.8683253

B. Wolfe, L. Fridman, A. Kosovicheva, B. Seppelt, B. Mehler, B. Reimer, and R. Rosenholtz, “Predicting road scenes from brief views of driving video,” Journal of Vision, vol. 19, no. 5, p. 8, May 2019, doi: 10.1167/19.5.8. [Online]. Available: https://doi.org/10.1167/19.5.8

Y. Wang, V. Kim, M. M. Bronstein, and J. Solomon, “LEARNING GEOMETRIC OPERATORS ON MESHES,” in ICLR 2019 Workshop on Representation Learning on Graphs and Manifolds, 2019 [Online]. Available: https://rlgm.github.io/papers/28.pdf

S. Sundaram, P. Kellnhofer, Y. Li, J.-Y. Zhu, A. Torralba, and W. Matusik, “Learning the signatures of the human grasp using a scalable tactile glove,” Nature, vol. 569, no. 7758, pp. 698–702, May 2019, doi: 10.1038/s41586-019-1234-z. [Online]. Available: https://doi.org/10.1038/s41586-019-1234-z

M. Orton, S. Dai, S. Schaffert, A. Hofmann, and B. Williams, “Improving Incremental Planning Performance through Overlapping Replanning and Execution,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 2426–2432, doi: 10.1109/ICRA.2019.8793642 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8793642

X. Huang, S. G. McGill, B. C. Williams, L. Fletcher, and G. Rosman, “Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 9718–9724, doi: 10.1109/ICRA.2019.8794282 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8794282

X. Huang, S. Hong, A. Hofmann, and B. C. Williams, “Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments,” in Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling (ICAPS 2019), 2019 [Online]. Available: https://aaai.org/ojs/index.php/ICAPS/article/view/3479

L. H. Gilpin, “MONITORING OPAQUE LEARNING SYSTEMS,” in Presented at ICLR 2019 Debugging Machine Learning Models Workshop, 2019 [Online]. Available: https://debug-ml-iclr2019.github.io/cameraready/DebugML-19_paper_25.pdf

S. Dong, D. Ma, E. Donlon, and A. Rodriguez, “Maintaining Grasps within Slipping Bounds by Monitoring Incipient Slip,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 3818–3824, doi: 10.1109/ICRA.2019.8793538 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8793538

S. Dai, S. Schaffert, A. Jasour, A. Hofmann, and B. Williams, “Chance Constrained Motion Planning for High-Dimensional Robots,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 8805–8811, doi: 10.1109/ICRA.2019.8793660 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8793660

L. Chin, M. C. Yuen, J. Lipton, L. H. Trueba, R. Kramer-Bottiglio, and D. Rus, “A Simple Electric Soft Robotic Gripper with High-Deformation Haptic Feedback,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 2765–2771, doi: 10.1109/ICRA.2019.8794098 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8794098

M. Bauza, O. Canal, and A. Rodriguez, “Tactile Mapping and Localization from High-Resolution Tactile Imprints,” in 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 3811–3817, doi: 10.1109/ICRA.2019.8794298 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8794298

A. Amini, G. Rosman, S. Karaman, and D. Rus, “Variational End-to-End Navigation and Localization,” in 2019 International Conference on Robotics and Automation (ICRA), 2019, doi: 10.1109/ICRA.2019.8793579 [Online]. Available: https://doi.org/10.1109/ICRA.2019.8793579

M. Monfort, A. Andonian, B. Zhou, K. Ramakrishnan, S. A. Bargal, T. Yan, L. Brown, Q. Fan, D. Gutfruend, C. Vondrick, and A. Oliva, “Moments in Time Dataset: one million videos for event understanding,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Feb. 2019, doi: 10.1109/TPAMI.2019.2901464. [Online]. Available: https://doi.org/10.1109/TPAMI.2019.2901464

F. Kjolstad, P. Ahrens, S. Kamil, and S. Amarasinghe, “Tensor Algebra Compilation with Workspaces,” in Proceedings of the 2019 IEEE/ACM International Symposium on Code Generation and Optimization, 2019 [Online]. Available: https://dl.acm.org/doi/10.5555/3314872.3314894

L. Wang and B. K. P. Horn,, “Multi-node bilateral control model,” IEEE Transactions on Automatic Control, Jan. 2019, doi: 10.1109/TAC.2019.2891490. [Online]. Available: https://doi.org/10.1109/TAC.2019.2891490

Y. Wang and J. M. Solomon, “PRNet: Self-Supervised Learning for Partial-to-Partial Registration,” in Advances in Neural Information Processing Systems 32, H. Wallach, H. Larochelle, A. Beygelzimer, F. d’Alché-Buc, E. Fox, and R. Garnett, Eds. Curran Associates, Inc., 2019, pp. 8814–8826 [Online]. Available: http://papers.nips.cc/paper/9085-prnet-self-supervised-learning-for-partial-to-partial-registration

L. Wang and B. K. P. Horn,, “On the stability analysis of mixed traffic with vehicles under car-following and bilateral control,” IEEE Trans. Automat. Contr., 2019, doi: 10.1109/TAC.2019.2945888. [Online]. Available: https://doi.org/10.1109/TAC.2019.2945888

L. Wang and B. K. P. Horn,, “Time-to-Contact Control: Improving Safety and Reliability of Autonomous Vehicles,” International Journal of Bio-Inspired Computation (Accepted), 2019 [Online]. Available: https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=ijbic

S. Roy, M. Noseworthy, R. Paul, D. Park, and N. Roy, “Leveraging Past References for Robust Language Grounding,” in Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Hong Kong, China, 2019, pp. 430–440, doi: 10.18653/v1/K19-1040 [Online]. Available: https://doi.org/10.18653/v1/K19-1040

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