Publications


2018

[1]
L. Gilpin, “Reasonableness Monitors,” in The 23rd AAAI/SIGAI Doctoral Consortium (DC) at AAAI-18 (accepted), 2018 [Online]. Available: https://aaai.org/Conferences/AAAI-18/

[2]
W. Schwarting, A. Pierson, S. Karaman, J. Alonso-Mora, and D. Rus, “Socially-Compliant Behavior for Autonomous Driving,” in ICRA 2018 (submitted), 2018.

[3]
A. Pierson, W. Schwarting, S. Karaman, and D. Rus, “Navigating Congested Environments with Risk Level Sets,” in ICRA 2018 (submitted), 2018.

[4]
T. Ort, L. Paull, and D. Rus, “Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps,” in ICRA 2018 (submitted), 2018.

[5]
J. Karlsson, C.-I. Vasile, J. Tumova, S. Karaman, and D. Rus, “Multi-vehicle motion planning for social optimal mobility-on-demand,” in ICRA 2018 (submitted), 2018.

[6]
R. Calandra, A. Owens, D. Jayaraman, W. Yuan, J. Lin, J. Malik, E. H. Adelson, and S. Levine, “Learning Deep Action-Conditional Models for Grasping and Regrasping from Vision and Touch,” in ICRA 2018 (submitted), 2018.



2017

[7]
K. Leidal, D. Harwath, and J. Glass, “Learning Modality-Invariant Representations for Speech and Images,” presented at the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, Okinawa, Japan, 2017 [Online]. Available: https://asru2017.org/Papers/ViewPapers.asp?PaperNum=1259

[8]
M. Tucker, A. Derya, R. Paul, G. Stein, and N. Roy, “Learning Unknown Groundings for Natural Language Interaction with Mobile Robots,” presented at the International Symposium on Robotics Research 2017, Puerto Varas, Chile, 2017 [Online]. Available: https://parasol.tamu.edu/isrr/isrr2017/conference-program.php

[9]
A. Pierson and D. Rus, “Distributed Target Tracking in Cluttered Environments with Guaranteed Collision Avoidance,” in The 1st International Symposium on Multi-Robot and Multi-Agent Systems, Los Angeles, CA, USA, 2017 [Online]. Available: https://mrs2017.org/schedule/

[10]
L. Liebenwein, W. Schwarting, C.-I. Vasile, J. DeCastro, J. Alonso-Mora, S. Karaman, and D. Rus, “Compositional and Contract-based Verification for Autonomous Driving on Road Networks,” presented at the International Symposium on Robotics Research 2017, Puerto Varas, Chile, 2017 [Online]. Available: https://parasol.tamu.edu/isrr/isrr2017/conference-program.php

[11]
N. Glabinski, R. Paul, and N. Roy, “Grounding Natural Language Instructions with Unknown Object References using Learned Visual Attributes,” in AAAI Fall Symposium on Natural Communication for Human-Robot Collaboration (NCHRC), 2017, 2017.

[12]
W. Yuan, S. Dong, and E. H. Adelson, “GelSight: High-Resolution Robot Tactile Sensors for Estimating Geometry and Force,” Sensors, vol. 17, no. 12, Nov. 2017 [Online]. Available: http://www.mdpi.com/1424-8220/17/12/2762

[13]
B. Wolfe, J. Dobres, R. Rosenholtz, and B. Reimer, “More than the Useful Field: Considering peripheral vision in driving,” Applied Ergonomics, vol. 65, pp. 316–325, Nov. 2017 [Online]. Available: https://doi.org/10.1016/j.apergo.2017.07.009. [Accessed: 23-Oct-2017]

[14]
R. Calandra, A. Owens, M. Upadhyaya, W. Yuan, J. Lin, E. H. Adelson, and S. Levine, “The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?,” in 1st Conference on Robot Learning (CoRL 2017), Mountain View, United States., 2017 [Online]. Available: http://proceedings.mlr.press/v78/calandra17a/calandra17a.pdf

[15]
F. Kjolstad, S. Kamil, S. Chou, D. Lugato, and S. Amarasinghe, “The tensor algebra compiler,” Proceedings of the ACM on Programming Languages, vol. 1, no. OOPSLA, pp. 1–29, Oct. 2017 [Online]. Available: https://doi.org/10.1145/3133901.

[16]
L. Wang and B. K. P. Horn, “Machine Vision to Alert Roadside Personnel of Night Traffic Threats,” IEEE Transactions on Intelligent Transportation Systems (to appear), Oct. 2017.

[17]
W. Schwarting, J. Alonso-Mora, L. Paull, S. Karaman, and D. Rus, “Safe Nonlinear Trajectory Generation for Parallel Autonomy with a Dynamic Vehicle Model,” IEEE Transactions on Intelligent Transportation Systems, Oct. 2017.

[18]
B. K. P. Horn and L. Wang, “Wave Equation of Suppressed Traffic Flow Instabilities,” IEEE Transactions on Intelligent Transportation Systems (to appear), Oct. 2017.

[19]
L. Wang and B. K. Horn, “Time-to-Contact control for safety and reliability of self-driving cars,” in Smart Cities Conference (ISC2), 2017 International, 2017, pp. 1–4 [Online]. Available: https://doi.org/10.1109/ISC2.2017.8090789

[20]
G. Rosman, L. Paull, and D. Rus, “Hybrid Control and Learning with Coresets for Autonomous Vehicles,” presented at the IROS 2017, 2017 [Online]. Available: http://www.iros2017.org/program/preliminary-agenda

[21]
S. Dong, W. Yuan, and E. Adelson, “Improved GelSight Tactile Sensor for Measuring Geometry and Slip,” presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017 [Online]. Available: https://arxiv.org/abs/1708.00922

[22]
R. Paul, A. Barbu, S. Felshin, B. Katz, and N. Roy, “Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context,” presented at the International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, 2017 [Online]. Available: https://doi.org/10.24963/ijcai.2017/629

[23]
R. Paul, A. Barbu, S. Felshin, B. Katz, and N. Roy, “Grounding with Visual-Linguistic Context,” presented at the Language Grounding in Robotics Workshop in the Annual Meeting of the Association of Computational Linguistics (ACL) 2017, Melbourne, Australia, 2017 [Online]. Available: https://robonlp2017.github.io/schedule.html

[24]
N. W. Kim, Z. Bylinskii, M. A. Borkin, K. Z. Gajos, A. Oliva, F. Durand, and H. Pfister, “BubbleView: a validation of a mouse-contingent interface for crowdsourcing image importance and tracking visual attention,” Aug. 2017 [Online]. Available: https://arxiv.org/pdf/1702.05150.pdf. [Accessed: 22-Aug-2017]

[25]
J. Wu, J. B. Tenenbaum, and P. Kohli, “Neural Scene De-Rendering,” presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, Hawaii, 2017 [Online]. Available: http://cvpr2017.thecvf.com/program/main_conference#program_schedule

[26]
A. A. Soltani, H. Huang, J. Wu, T. D. Kulkarni, and J. B. Tenenbaum, “Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks,” presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, Hawaii, 2017 [Online]. Available: http://cvpr2017.thecvf.com/program/main_conference#program_schedule

[27]
D. Harwath and J. Glass, “Learning Word-Like Units from Joint Audio-Visual Analysis,” 2017, pp. 506–517 [Online]. Available: https://doi.org/10.18653/v1/P17-1047. [Accessed: 29-Nov-2017]

[28]
M. Gharbi, J. Chen, J. Barron, S. Hasinoff, and F. Durand, “Deep Bilateral Learning for Real-Time Image Enhancement,” ACM Transactions on Graphics, vol. 36, no. 4, Jul. 2017 [Online]. Available: https://doi.org/10.1145/3072959.3073592

[29]
L. Anderson, T.-M. Li, J. Lehtinen, and F. Durand, “Aether: An Embedded Domain Specific Sampling Language for Monte Carlo Rendering,” ACM Transactions on Graphics, vol. 36, no. 4, Jul. 2017 [Online]. Available: https://doi.org/10.1145/3072959.3073704

[30]
B. Wolfe, L. Fridman, A. Kosovicheva, B. Seppelt, B. Mehler, R. Rosenholtz, and B. Reimer, “Perceiving the Roadway in the Blink of an Eye–Rapind Perception of the Road Environment and Prediction of Events,” presented at the 9th International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, Manchester Village, Vermont, 2017 [Online]. Available: http://drivingassessment.uiowa.edu/sites/default/files/DA2017/papers/33…

[31]
F. Naser, D. Dorhout, S. Proulx, S. D. Pendleton, H. Andersen, W. Schwarting, L. Paull, J. Alonso-Mora, M. H. A. Jr., S. Karaman, R. Tedrake, J. Leonard, and D. Rus, “A Parallel Autonomy Research Platform,” presented at the 2017 IEEE Intelligent Vehicles Symposium, 2017, pp. 933–940 [Online]. Available: https://dspace.mit.edu/handle/1721.1/110322

[32]
W. Yuan, C. Zhu, A. Owens, M. A. Srinivasan, and E. H. Adelson, “Shape-independent Hardness Estimation Using Deep Learning and a GelSight Tactile Sensor,” in IEEE International Conference on Robotics and Automation (ICRA), Singapore, 2017 [Online]. Available: https://arxiv.org/abs/1704.03955. [Accessed: 10-Jul-2017]

[33]
C.-I. Vasile, J. Tumova, S. Karaman, C. Belta, and D. Rus, “Minimum-violation scLTL motion planning for mobility-on-demand,” in IEEE International Conference on Robotics and Automation (ICRA), 2017 [Online]. Available: http://www.icra2017.org/conference/program. [Accessed: 18-Jun-2017]

[34]
W. Schwarting, J. Alonso-Mora, L. Paull, S. Karaman, and D. Rus, “Parallel Autonomy in Automated Vehicles: Safe Motion Generation with Minimal Intervention,” in IEEE International Conference on Robotics and Automation (ICRA), 2017 [Online]. Available: http://dspace.mit.edu/handle/1721.1/110365. [Accessed: 18-Jun-2017]

[35]
L. Paull, J. Tani, H. Ahn, J. Alonso-Mora, L. Carlone, M. Cáp, Y. F. Chen, C. Choi, J. Dusek, Y. Fang, D. Hoehener, S.-Y. Liu, M. Novitzky, I. F. Okuyama, J. Pazis, G. Rosman, V. Varricchio, H.-C. Wang, D. S. Yershov, H. Zhao, M. Benjamin, C. Carr, M. T. Zuber, S. Karaman, E. Frazzoli, D. D. Vecchio, D. Rus, J. P. How, J. J. Leonard, and A. Censi, “Duckietown: An open, inexpensive and flexible platform for autonomy education and research,” in 2017 IEEE International Conference on Robotics and Automation, ICRA 2017, Singapore, Singapore, May 29 - June 3, 2017, 2017, pp. 1497–1504 [Online]. Available: https://doi.org/10.1109/ICRA.2017.7989179

[36]
M. Monfort, M. Johnson, A. Oliva, and K. Hofmann, “Asynchronous Data Aggregation for Training End to End Visual Control Networks,” in Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, São Paulo, Brazil, 2017, pp. 530–537 [Online]. Available: http://dl.acm.org/citation.cfm?id=3091125.3091204

[37]
W. Yuan, S. Wang, S. Dong, and E. Adelson, “Connecting Look and Feel: Associating the visual and tactile properties of physical materials,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, 2017 [Online]. Available: https://arxiv.org/abs/1704.03822. [Accessed: 10-Jul-2017]

[38]
Z. Bylinskii, T. Judd, A. Oliva, A. Torralba, and F. Durand, “What do different evaluation metrics tell us about saliency models?,” Earth, vol. 49, no. 68, p. 88, Apr. 2017 [Online]. Available: https://arxiv.org/abs/1604.03605. [Accessed: 23-May-2017]

[39]
L. H. Gilpin and B. Z. Yuan, “Getting Up to Speed on Vehicle Intelligence,” in 2017 AAAI Spring Symposium Series, Palo Alto, CA USA, 2017 [Online]. Available: https://aaai.org/ocs/index.php/SSS/SSS17/paper/view/15322/14599

[40]
L. Wang, B. K. P. Horn, and G. Strang, “Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic: Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic,” Studies in Applied Mathematics, vol. 138, no. 1, pp. 103–132, Jan. 2017 [Online]. Available: http://doi.wiley.com/10.1111/sapm.12144. [Accessed: 23-May-2017]



2016

[41]
J. Wu, C. Zhang, T. Xue, W. T. Freeman, and J. Tenenbaum, “Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling,” in Advances in Neural Information Processing Systems 29, Barcelona, Spain, 2016, pp. 82–90 [Online]. Available: http://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-…

[42]
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman, “Single Image 3D Interpreter Network,” in Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VI, Cham, 2016, pp. 365–382 [Online]. Available: http://dx.doi.org/10.1007/978-3-319-46466-4_22

[43]
D. Harwath, A. Torralba, and J. Glass, “Unsupervised learning of spoken language with visual context,” in Advances in Neural Information Processing Systems, Barcelona, Spain, 2016 [Online]. Available: https://papers.nips.cc/paper/6186-unsupervised-learning-of-spoken-langu…