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ORCIDManuela M. Veloso
Manuela Veloso
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2022
[i54]Natraj Raman, Sameena Shah, Manuela Veloso:
Structure with Semantics: Exploiting Document Relations for Retrieval. CoRR abs/2201.03720 (2022)- 2021
- [j99]Anahita Mohseni-Kabir
, Manuela Veloso, Maxim Likhachev:
Optimal Planning Over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks That Evolve Over Time. IEEE Robotics Autom. Lett. 6(3): 5873-5880 (2021) - [j98]Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Improving the On-Vehicle Experience of Passengers Through SC-M*: A Scalable Multi-Passenger Multi-Criteria Mobility Planner. IEEE Trans. Intell. Transp. Syst. 22(2): 1026-1040 (2021) - [c417]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. AAAI 2021: 9923-9931 - [c416]Daniel Borrajo, Manuela Veloso:
Computing Opportunities to Augment Plans for Novel Replanning during Execution. ICAPS 2021: 51-55 - [c415]Pedro Ildefonso, Pedro Remédios, Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Exploiting Symmetry in Human Robot-Assisted Dressing Using Reinforcement Learning. EPIA 2021: 405-417 - [c414]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Domain-agnostic Document Representation Learning Using Latent Topics and Metadata. FLAIRS Conference 2021 - [c413]Daniel Borrajo, Manuela Veloso:
Intelligent Execution through Plan Analysis. IROS 2021: 3162-3167 - [c412]Ishani Chatterjee, Yash Oza, Maxim Likhachev, Manuela Veloso:
Search-based Planning with Learned Behaviors for Navigation among Pedestrians. IROS 2021: 7953-7960 - [c411]Pragna Mannam, Avi Rudich, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Fatma Zeynep Temel:
A Low-Cost Compliant Gripper Using Cooperative Mini-Delta Robots for Dexterous Manipulation. Robotics: Science and Systems 2021 - [i53]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations through Interactive Exploration. CoRR abs/2101.02252 (2021) - [i52]Zhen Zeng, Tucker Balch, Manuela Veloso:
Deep Video Prediction for Time Series Forecasting. CoRR abs/2102.12061 (2021) - [i51]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time. CoRR abs/2102.12633 (2021) - [i50]Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. CoRR abs/2102.13045 (2021) - [i49]Aviram Aviv, Yaniv Oshrat, Samuel A. Assefa, Tobi Mustapha, Daniel Borrajo, Manuela Veloso, Sarit Kraus:
Advising Agent for Service-Providing Live-Chat Operators. CoRR abs/2105.03986 (2021) - [i48]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Waiting Tables as a Robot Planning Problem. CoRR abs/2105.10133 (2021) - [i47]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Time Series Forecasting: An Image-driven Approach. CoRR abs/2107.01273 (2021) - [i46]Mahmoud Mahfouz, Tucker Balch, Manuela Veloso, Danilo P. Mandic:
Learning to Classify and Imitate Trading Agents in Continuous Double Auction Markets. CoRR abs/2110.01325 (2021) - [i45]Parisa Hassanzadeh, Danial Dervovic, Samuel Assefa, Prashant Reddy, Manuela Veloso:
Tradeoffs in Streaming Binary Classification under Limited Inspection Resources. CoRR abs/2110.02403 (2021) - [i44]Yufei Wu, Mahmoud Mahfouz, Daniele Magazzeni, Manuela Veloso:
How Robust are Limit Order Book Representations under Data Perturbation? CoRR abs/2110.04752 (2021) - [i43]Selim Amrouni, Aymeric Moulin, Jared Vann, Svitlana Vyetrenko, Tucker Balch, Manuela Veloso:
ABIDES-Gym: Gym Environments for Multi-Agent Discrete Event Simulation and Application to Financial Markets. CoRR abs/2110.14771 (2021) - [i42]Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Parameterized Explanations for Investor / Company Matching. CoRR abs/2111.01911 (2021) - [i41]Natraj Raman, Sameena Shah, Manuela Veloso:
Synthetic Document Generator for Annotation-free Layout Recognition. CoRR abs/2111.06016 (2021) - [i40]Alexander Lavin, Hector Zenil, Brooks Paige, David Krakauer, Justin Gottschlich, Tim Mattson, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atilim Günes Baydin, Carina Prunkl, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob Macke, Kyle Cranmer, Jiaxin Zhang, Haruko M. Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer:
Simulation Intelligence: Towards a New Generation of Scientific Methods. CoRR abs/2112.03235 (2021) - 2020
- [j97]Kim Baraka, Francisco S. Melo, Marta Couto, Manuela Veloso:
Optimal action sequence generation for assistive agents in fixed horizon tasks. Auton. Agents Multi Agent Syst. 34(2): 33 (2020) - [j96]Nerea Luis, Tiago Raul Pereira, Susana Fernández, António Moreira, Daniel Borrajo, Manuela Veloso:
Using Pre-Computed Knowledge for Goal Allocation in Multi-Agent Planning. J. Intell. Robotic Syst. 98(1): 165-190 (2020) - [c410]Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev:
Efficient Robot Planning for Achieving Multiple Independent Partially Observable Tasks That Evolve over Time. ICAPS 2020: 202-211 - [c409]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An Approach for Cross-Modality Transfer in Reinforcement Learning. AAMAS 2020: 1260-1268 - [c408]Gilad Asharov, Tucker Hybinette Balch, Antigoni Polychroniadou, Manuela Veloso:
Privacy-Preserving Dark Pools. AAMAS 2020: 1747-1749 - [c407]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela Veloso:
Heuristics for Link Prediction in Multiplex Networks. ECAI 2020: 1938-1945 - [c406]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Balch:
Get real: realism metrics for robust limit order book market simulations. ICAIF 2020: 2:1-2:8 - [c405]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. ICAIF 2020: 3:1-3:8 - [c404]Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Recommending missing and suspicious links in multiplex financial networks. ICAIF 2020: 20:1-20:8 - [c403]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-sensitive reinforcement learning: a martingale approach to reward uncertainty. ICAIF 2020: 28:1-28:9 - [c402]Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso:
SURF: improving classifiers in production by learning from busy and noisy end users. ICAIF 2020: 37:1-37:8 - [c401]Jiahao Chen, Manuela Veloso:
Paying down metadata debt: learning the representation of concepts using topic models. ICAIF 2020: 43:1-43:8 - [c400]Samuel A. Assefa, Danial Dervovic, Mahmoud Mahfouz, Robert E. Tillman, Prashant Reddy, Manuela Veloso:
Generating synthetic data in finance: opportunities, challenges and pitfalls. ICAIF 2020: 44:1-44:8 - [c399]Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via image classification. ICAIF 2020: 53:1-53:6 - [c398]Devin Schwab, Yifeng Zhu, Manuela Veloso:
Tensor Action Spaces for Multi-agent Robot Transfer Learning. IROS 2020: 5380-5386 - [c397]Tess Lee Hellebrekers, Kevin Zhang, Manuela Veloso, Oliver Kroemer, Carmel Majidi:
Localization and Force-Feedback with Soft Magnetic Stickers for Precise Robot Manipulation. IROS 2020: 8867-8874 - [c396]Amrita Sawhney, Steven Lee, Kevin Zhang, Manuela Veloso, Oliver Kroemer:
Playing with Food: Learning Food Item Representations Through Interactive Exploration. ISER 2020: 309-322 - [c395]Manuela Veloso:
AI for Intelligent Financial Services: Examples and Discussion. KDD 2020: 1-2 - [c394]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. NeurIPS 2020 - [i39]Robert E. Tillman, Vamsi K. Potluru, Jiahao Chen, Prashant P. Reddy, Manuela M. Veloso:
Heuristics for Link Prediction in Multiplex Networks. CoRR abs/2004.04704 (2020) - [i38]Chirag Nagpal, Robert E. Tillman, Prashant P. Reddy, Manuela Veloso:
Latent Bayesian Inference for Robust Earnings Estimates. CoRR abs/2004.06565 (2020) - [i37]Joshua Lockhart, Samuel Assefa, Tucker Balch, Manuela Veloso:
Some people aren't worth listening to: periodically retraining classifiers with feedback from a team of end users. CoRR abs/2004.13152 (2020) - [i36]Brandon Houghton, Stephanie Milani, Nicholay Topin, William H. Guss, Katja Hofmann, Diego Perez Liebana, Manuela Veloso, Ruslan Salakhutdinov:
Guaranteeing Reproducibility in Deep Learning Competitions. CoRR abs/2005.06041 (2020) - [i35]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty. CoRR abs/2006.12686 (2020) - [i34]Nelson Vadori, Sumitra Ganesh, Prashant P. Reddy, Manuela Veloso:
Calibration of Shared Equilibria in General Sum Partially Observable Markov Games. CoRR abs/2006.13085 (2020) - [i33]Vineeth Ravi, Selim Amrouni, Andrea Stefanucci, Prashant P. Reddy, Manuela Veloso:
AI pptX: Robust Continuous Learning for Document Generation with AI Insights. CoRR abs/2010.01169 (2020) - [i32]Jiahao Chen, Manuela Veloso:
Paying down metadata debt: learning the representation of concepts using topic models. CoRR abs/2010.04836 (2020) - [i31]Joshua Lockhart, Samuel Assefa, Ayham Alajdad, Andrew Alexander, Tucker Balch, Manuela Veloso:
SURF: Improving classifiers in production by learning from busy and noisy end users. CoRR abs/2010.05852 (2020) - [i30]Natraj Raman, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso:
Robust Document Representations using Latent Topics and Metadata. CoRR abs/2010.12681 (2020) - [i29]Daniel Borrajo, Manuela Veloso, Sameena Shah:
Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering. CoRR abs/2011.01826 (2020) - [i28]Daniel Borrajo, Manuela Veloso:
Domain-independent generation and classification of behavior traces. CoRR abs/2011.02918 (2020) - [i27]Naftali Cohen, Srijan Sood, Zhen Zeng, Tucker Balch, Manuela Veloso:
Visual Forecasting of Time Series with Image-to-Image Regression. CoRR abs/2011.09052 (2020)
2010 – 2019
- 2019
- [j95]Juan Pablo Mendoza, Reid G. Simmons, Manuela Veloso:
Detection and correction of subtle context-dependent robot model inaccuracies using parametric regions. Int. J. Robotics Res. 38(8) (2019) - [j94]Tiago Raul de Sousa Pereira, António Paulo Moreira, Manuela Veloso:
Optimal Perception Planning with Informed Heuristics Constructed from Visibility Maps. J. Intell. Robotic Syst. 93(3-4): 547-570 (2019) - [j93]Kim Baraka, Francisco S. Melo, Manuela Veloso:
Interactive robots with model-based 'autism-like' behaviors. Paladyn J. Behav. Robotics 10(1): 103-116 (2019) - [j92]Minoru Asada, Peter Stone, Manuela Veloso, Daniel D. Lee, Daniele Nardi:
RoboCup: A Treasure Trove of Rich Diversity for Research Issues and Interdisciplinary Connections [TC Spotlight]. IEEE Robotics Autom. Mag. 26(3): 99-102 (2019) - [j91]Jonathan Aldrich, David Garlan, Christian Kästner, Claire Le Goues, Anahita Mohseni-Kabir, Ivan Ruchkin, Selva Samuel, Bradley R. Schmerl, Christopher Steven Timperley, Manuela Veloso, Ian Voysey, Joydeep Biswas, Arjun Guha, Jarrett Holtz, Javier Cámara, Pooyan Jamshidi:
Model-Based Adaptation for Robotics Software. IEEE Softw. 36(2): 83-90 (2019) - [c393]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. AAAI 2019: 2514-2521 - [c392]Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso:
A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS 2019: 455-463 - [c391]Ishani Chatterjee, Maxim Likhachev, Ashwin Khadke, Manuela Veloso:
Speeding Up Search-Based Motion Planning via Conservative Heuristics. ICAPS 2019: 674-679 - [c390]Kim Baraka, Marta Couto, Francisco S. Melo, Manuela Veloso:
An Optimization Approach for Structured Agent-Based Provider/Receiver Tasks. AAMAS 2019: 95-103 - [c389]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. Humanoids 2019: 409-416 - [c388]Yifeng Zhu, Devin Schwab, Manuela Veloso:
Learning Primitive Skills for Mobile Robots. ICRA 2019: 7597-7603 - [c387]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. IJCAI 2019: 2442-2448 - [c386]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. RO-MAN 2019: 1-8 - [e10]Edith Elkind, Manuela Veloso, Noa Agmon, Matthew E. Taylor:
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, AAMAS '19, Montreal, QC, Canada, May 13-17, 2019. International Foundation for Autonomous Agents and Multiagent Systems 2019, ISBN 978-1-4503-6309-9 [contents] - [i26]William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noburu Kuno, Stephanie Milani, Sharada P. Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang:
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors. CoRR abs/1904.10079 (2019) - [i25]Nicholay Topin, Manuela Veloso:
Generation of Policy-Level Explanations for Reinforcement Learning. CoRR abs/1905.12044 (2019) - [i24]Aaron M. Roth, Nicholay Topin, Pooyan Jamshidi, Manuela Veloso:
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy. CoRR abs/1907.01180 (2019) - [i23]Naftali Cohen, Tucker Balch, Manuela Veloso:
The Effect of Visual Design in Image Classification. CoRR abs/1907.09567 (2019) - [i22]Naftali Cohen, Tucker Balch, Manuela Veloso:
Trading via Image Classification. CoRR abs/1907.10046 (2019) - [i21]William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, Ruslan Salakhutdinov:
MineRL: A Large-Scale Dataset of Minecraft Demonstrations. CoRR abs/1907.13440 (2019) - [i20]Kevin Zhang, Mohit Sharma, Manuela Veloso, Oliver Kroemer:
Leveraging Multimodal Haptic Sensory Data for Robust Cutting. CoRR abs/1909.12460 (2019) - [i19]Aaron M. Roth, Samantha Reig, Umang Bhatt, Jonathan Shulgach, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela Veloso:
A Robot's Expressive Language Affects Human Strategy and Perceptions in a Competitive Game. CoRR abs/1910.11459 (2019) - [i18]Sumitra Ganesh, Nelson Vadori, Mengda Xu, Hua Zheng, Prashant P. Reddy, Manuela Veloso:
Reinforcement Learning for Market Making in a Multi-agent Dealer Market. CoRR abs/1911.05892 (2019) - [i17]Rui Silva, Miguel Vasco, Francisco S. Melo, Ana Paiva, Manuela Veloso:
Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learning. CoRR abs/1911.12851 (2019) - [i16]Svitlana Vyetrenko, David Byrd, Nick Petosa, Mahmoud Mahfouz, Danial Dervovic, Manuela Veloso, Tucker Hybinette Balch:
Get Real: Realism Metrics for Robust Limit Order Book Market Simulations. CoRR abs/1912.04941 (2019) - 2018
- [j90]Kim Baraka, Manuela M. Veloso:
Mobile Service Robot State Revealing Through Expressive Lights: Formalism, Design, and Evaluation. Int. J. Soc. Robotics 10(1): 65-92 (2018) - [j89]James G. Bellingham, Pierre E. Dupont, Peer Fischer, Luciano Floridi, Robert J. Full, Neil Jacobstein, Vijay Kumar, Marcia McNutt, Robert D. Merrifield, Bradley J. Nelson, Brian Scassellati, Mariarosaria Taddeo, Russell H. Taylor, Manuela M. Veloso, Zhong Lin Wang, Robert J. Wood:
The grand challenges of Science Robotics. Sci. Robotics 3(14) (2018) - [c385]Michiel de Jong, Kevin Zhang, Aaron M. Roth, Travers Rhodes, Robin Schmucker, Chenghui Zhou, Sofia Ferreira, João Cartucho, Manuela M. Veloso:
Towards a Robust Interactive and Learning Social Robot. AAMAS 2018: 883-891 - [c384]Devin Schwab, Yifeng Zhu, Manuela M. Veloso:
Zero Shot Transfer Learning for Robot Soccer. AAMAS 2018: 2070-2072 - [c383]Max Korein, Manuela M. Veloso:
Multi-Armed Bandit Algorithms for Spare Time Planning of a Mobile Service Robot. AAMAS 2018: 2195-2197 - [c382]Alexandre Candeias, Travers Rhodes, Manuel Marques, João Paulo Costeira, Manuela Veloso:
Vision Augmented Robot Feeding. ECCV Workshops (6) 2018: 50-65 - [c381]Max Korein, Manuela Veloso:
Multi-Armed Bandit Algorithms for a Mobile Service Robot's Spare Time in a Structured Environment. GCAI 2018: 121-133 - [c380]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier Labels as Language Grounding for Explanations. GCAI 2018: 148-161 - [c379]Sai Pandi Selvaraj, Manuela Veloso, Stephanie Rosenthal:
Classifier-Based Evaluation of Image Feature Importance. GCAI 2018: 162-175 - [c378]Vittorio Perera, Manuela Veloso:
Interpretability of a Service Robot: Enabling User Questions and Checkable Answers. GCAI 2018: 176-187 - [c377]Rui Silva, Francisco S. Melo, Manuela Veloso:
What if the World Were Different? Gradient-Based Exploration for New Optimal Policies. GCAI 2018: 229-242 - [c376]Ashwin Khadke, Manuela Veloso:
Inferring Capabilities by Experimentation. IAS 2018: 889-901 - [c375]Tiago Raul de Sousa Pereira, Nerea Luis, António Paulo Moreira, Daniel Borrajo, Manuela M. Veloso, Susana Fernández:
Heterogeneous multi-agent planning using actuation maps. ICARSC 2018: 219-224 - [c374]Anahita Mohseni-Kabir, Manuela M. Veloso:
Robot Task Interruption by Learning to Switch Among Multiple Models. IJCAI 2018: 4943-4949 - [c373]Liang-Yan Gui, Kevin Zhang, Yu-Xiong Wang, Xiaodan Liang, José M. F. Moura, Manuela Veloso:
Teaching Robots to Predict Human Motion. IROS 2018: 562-567 - [c372]João Cartucho, Rodrigo Ventura, Manuela Veloso:
Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots. IROS 2018: 2336-2341 - [c371]Philip Cooksey, Manuela Veloso:
A Rationale-Driven Team Plan Representation for Autonomous Intra-Robot Replanning*. IROS 2018: 2389-2394 - [c370]Travers Rhodes, Manuela Veloso:
Robot-driven Trajectory Improvement for Feeding Tasks. IROS 2018: 2991-2996 - [c369]Rongye Shi, Peter Steenkiste, Manuela Veloso:
Generating Synthetic Passenger Data through Joint Traffic-Passenger Modeling and Simulation. ITSC 2018: 3397-3402 - [c368]Devin Schwab, Yifeng Zhu, Manuela Veloso:
Learning Skills for Small Size League RoboCup. RoboCup 2018: 83-95 - [c367]Robin Schmucker, Chenghui Zhou, Manuela Veloso:
Multimodal Movement Activity Recognition Using a Robot's Proprioceptive Sensors. RoboCup 2018: 299-310 - [i15]Sandeep Konam, Ian Quah, Stephanie Rosenthal, Manuela M. Veloso:
Understanding Convolutional Networks with APPLE : Automatic Patch Pattern Labeling for Explanation. CoRR abs/1802.03675 (2018) - [i14]Aaron M. Roth, Umang Bhatt, Tamara Amin, Afsaneh Doryab, Fei Fang, Manuela M. Veloso:
The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting. CoRR abs/1806.03671 (2018) - [i13]Pablo Gómez Esteban, Daniel Hernández García, Hee Rin Lee, Pauline Chevalier, Paul Baxter, Cindy L. Bethel, Jainendra Shukla, Joan Oliver, Domenec Puig, Jason R. Wilson, Linda Tickle-Degnen, Madeleine Bartlett, Tony Belpaeme, Serge Thill, Kim Baraka, Francisco S. Melo, Manuela Veloso, David Becerra, Maja J. Mataric, Eduard Fosch-Villaronga, Jordi Albo-Canals, Gloria Beraldo, Emanuele Menegatti, Valentina De Tommasi, Roberto Mancin, Franca Benini, Zachary Henkel, Kenna Baugus, David C. May, Lucile Dupuy, Wendy A. Rogers, Ronit Feingold Polak, Shelly Levy-Tzedek, Dagoberto Cruz-Sandoval, Jesús Favela, Michelle J. Johnson, Mayumi Mohan, Rochelle Mendonca:
Proceedings of the Workshop on Social Robots in Therapy: Focusing on Autonomy and Ethical Challenges. CoRR abs/1812.07613 (2018) - 2017
- [j88]Somchaya Liemhetcharat, Manuela M. Veloso:
Allocating training instances to learning agents for team formation. Auton. Agents Multi Agent Syst. 31(4): 905-940 (2017) - [j87]Danny Zhu, Manuela M. Veloso:
Event-based automated refereeing for robot soccer. Auton. Robots 41(7): 1463-1485 (2017) - [j86]Stefan J. Witwicki, José Carlos Castillo, João V. Messias, Jesús Capitán, Francisco S. Melo, Pedro U. Lima, Manuela M. Veloso:
Autonomous Surveillance Robots: A Decision-Making Framework for Networked Muiltiagent Systems. IEEE Robotics Autom. Mag. 24(3): 52-64 (2017) - [j85]Joydeep Biswas, Manuela M. Veloso:
Episodic non-Markov localization. Robotics Auton. Syst. 87: 162-176 (2017) - [c366]Rongye Shi, Peter Steenkiste, Manuela M. Veloso:
Second-Order Destination Inference using Semi-Supervised Self-Training for Entry-Only Passenger Data. BDCAT 2017: 255-264 - [c365]Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRL 2017: 249-261 - [c364]Catarina Silva, Jayakorn Vongkulbhisal, Manuel Marques, João Paulo Costeira, Manuela M. Veloso:
Feedbot - A Robotic Arm for Autonomous Assisted Feeding. EPIA 2017: 486-497 - [c363]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
Simulating Behaviors of Children with Autism Spectrum Disorders Through Reversal of the Autism Diagnosis Process. EPIA 2017: 753-765 - [c362]Qingxiaoyang Zhu, Vittorio Perera, Mirko Wächter, Tamim Asfour, Manuela M. Veloso:
Autonomous narration of humanoid robot kitchen task experience. Humanoids 2017: 390-397 - [c361]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
Data-driven generation of synthetic behavioral feature vectors modeling children with autism spectrum disorders. ICDL-EPIROB 2017: 202-208 - [c360]Junyun Tay, Manuela M. Veloso, I-Ming Chen:
Learning individual motion preferences from audience feedback of motion sequences. ICRA 2017: 2768-2773 - [c359]Philip Cooksey, Manuela M. Veloso:
Intra-robot replanning to enable team plan conditions. IROS 2017: 1113-1118 - [c358]Rui Silva, Miguel Faria, Francisco S. Melo, Manuela M. Veloso:
Adaptive indirect control through communication in collaborative human-robot interaction. IROS 2017: 3617-3622 - [c357]Danny Zhu, Manuela M. Veloso:
Visualizing robot behaviors as automated video annotations: A case study in robot soccer. IROS 2017: 6408-6413 - [c356]Vittorio Perera, Manuela M. Veloso:
Learning to understand questions on the task history of a service robot. RO-MAN 2017: 304-309 - [c355]Lotte de Koning, Juan Pablo Mendoza, Manuela M. Veloso, René van de Molengraft:
Skills, Tactics and Plays for Distributed Multi-robot Control in Adversarial Environments. RoboCup 2017: 277-289 - [c354]Carlos Celemin, Rodrigo Pérez-Dattari, Javier Ruiz-del-Solar, Manuela M. Veloso:
Interactive Machine Learning Applied to Dribble a Ball in Soccer with Biped Robots. RoboCup 2017: 363-375 - [c353]Tiago Raul de Sousa Pereira, António Paulo Gomes Mendes Moreira, Manuela M. Veloso:
Multi-Robot Planning for Perception of Multiple Regions of Interest. ROBOT (1) 2017: 275-286 - [c352]Danny Zhu, Manuela M. Veloso:
A multi-layered visualization language for video augmentation. SIGGRAPH Asia Symposium on Visualization 2017: 7:1-7:8 - [c351]Kim Baraka, Francisco S. Melo, Manuela M. Veloso:
'Autistic Robots' for Embodied Emulation of Behaviors Typically Seen in Children with Different Autism Severities. ICSR 2017: 105-114 - [c350]Ishani Chatterjee, Maxim Likhachev, Manuela M. Veloso:
Search Reduction through Conservative Abstract-Space Based Heuristic. SOCS 2017: 161-162 - [i12]Vittorio Perera, Tiago Pereira, Jonathan Connell, Manuela M. Veloso:
Setting Up Pepper For Autonomous Navigation And Personalized Interaction With Users. CoRR abs/1704.04797 (2017) - [i11]Shichao Yang, Sandeep Konam, Chen Ma, Stephanie Rosenthal, Manuela M. Veloso, Sebastian A. Scherer:
Obstacle Avoidance through Deep Networks based Intermediate Perception. CoRR abs/1704.08759 (2017) - [i10]Guan-Horng Liu, Avinash Siravuru, Sai P. Selvaraj, Manuela M. Veloso, George Kantor:
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation. CoRR abs/1705.10422 (2017) - [i9]Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing, Stephanie Rosenthal, Manuela M. Veloso:
Visual Explanations for Convolutional Neural Networks via Input Resampling. CoRR abs/1707.09641 (2017) - [i8]