Publications
Agarwal, K., Jiang, Y., Hu, J., Liu, B., & Stone, P. (2025). L3M+P: Lifelong Planning with Large Language Models. https://doi.org/10.48550/arXiv.2508.01917
Bajaj, V., Sharon, G., & Stone, P. (2023). Task Phasing: Automated Curriculum Learning from Demonstrations. https://www.cs.utexas.edu/~pstone/Papers/bib2html/ICAPS23-bajaj.pdf
Baker, S., Dick, A., Gidal, E., McKeever, G. L., & Oliver, S. (2023). “Better Lore” of the Romantic Coast: Maritime Ecologies and Cultural Infrastructure from England, Scotland, and Beyond. European Romantic Review 34 (3) , 303-315 . https://doi.org/10.1080/10509585.2023.2205081
Baker, S., Hauser, E., & Hart, J. (2023). Trustworthy Memory Practices for Better Living and Working with Robots. 1-5 . https://doi.org/10.1145/3597512.3597516
Basich, C., Svegliato, J., Wray, K. H., Witwicki, S., Biswas, J., & Zilberstein, S. (2023). Competence-aware systems. Artificial Intelligence 316 , 103844 . https://doi.org/10.1016/j.artint.2022.103844
Chan, Y. C., Hart, J., & Hauser, E. (2023). Understanding Human-Robot Encounters: Challenges for Industry and Science.
Chan, Y., & Hauser, E. (2023). Understanding Reactions in Human‐Robot Encounters with Autonomous Quadruped Robots. Proceedings of the Association for Information Science and Technology 60 (1) , 86-97 . https://doi.org/10.1002/pra2.771
Chandra, R., Maligi, R., Anantula, A., & Biswas, J. (2023). SocialMapf: Optimal and Efficient Multi-Agent Path Finding With Strategic Agents for Social Navigation. IEEE Robotics and Automation Letters 8 (6) , 3214-3221 . https://doi.org/10.1109/LRA.2023.3265169
Chandra, R., Zinage, V., Bakolas, E., Stone, P., & Biswas, J. (2025). Deadlock-free, safe, and decentralized multi-robot navigation in social mini-games via discrete-time control barrier functions. Autonomous Robots 49 (2) . https://doi.org/10.1007/s10514-025-10194-8
Chonkar, P., Hemkumar, G., Wang, H., Dua, D., Gupta, S., Chan, Y. C., Hart, J., Hauser, E., Mirsky, R., Biswas, J., Jiao, J., & Stone, P. (2022). Look to my Lead: How Does a Leash Affect Perceptions of a Quadruped Robot?. https://seanavbench.interactive-machines.com/papers/chonkar.pdf
Dass, S., Hu, J., Abbatematteo, B., Stone, P., & Martín-Martín, R. (2024). Learning to Look: Seeking Information for Decision Making via Policy Factorization. https://doi.org/10.48550/ARXIV.2410.18964
Esteva, M., & Zhou, X. (2025). A Data Curation, Interrogation and Access System for the Texas Robotics Dataverse.
Esteva, M., Chan, Y. C., Deng, Z., Gupta, R., Hatgis-Kessell, S., Karnan, H., Modak Modak, S., Norman, E., & Zhang, A. (2024). Curation of Trustworthy Robotics Human Datasets.
Francis, A., Pérez-D’Arpino, C., Li, C., Xia, F., Alahi, A., Alami, R., Bera, A., Biswas, A., Biswas, J., Chandra, R., Chiang, H. T. L., Everett, M., Ha, S., Hart, J., How, J. P., Karnan, H., Lee, T. W. E., Manso, L. J., Mirsky, R., Pirk, S., Singamaneni, P. T., Stone, P., Taylor, A. V., Trautman, P., Tsoi, N., Vázquez, M., Xiao, X., Xu, P., Yokoyama, N., Toshev, A., & Martín-Martín, R. (2025). Principles and Guidelines for Evaluating Social Robot Navigation Algorithms. ACM Transactions on Human-Robot Interaction 14 (2) , 1-65 . https://doi.org/10.1145/3700599
Ghani, S. A., Wang, Z., Stone, P., & Xiao, X. (2025). Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination.
Ghonasgi, K., Mirsky, R., Bhargava, N., Haith, A., Stone, P., & Deshpande, A. Kinematic coordinations capture learning during human–exoskeleton interaction. Scientific Reports 13 (10322) . https://www.nature.com/articles/s41598-023-35231-3
Ghonasgi, K., Mirsky, R., Haith, A. M., Stone, P., & Deshpande, A. D. (2023). A Novel Control Law for Multi-Joint Human-Robot Interaction Tasks While Maintaining Postural Coordination. 6110-6116 . https://doi.org/10.1109/IROS55552.2023.10342501
Gupta, R., Shin, H., Norman, E., Stephens, K. K., Lu, N., & Sentis, L. (2024). Human Stress Response and Perceived Safety during Encounters with Quadruped Robots. 783-790 . https://doi.org/10.1109/RO-MAN60168.2024.10731445
Hart, J., Mirsky, R., Xiao, X., & Stone, P. (2021). Incorporating Gaze into Social Navigation. https://doi.org/10.48550/ARXIV.2107.04001
Hauser, E. (2023). Facts in the machine: Systems of record and the performance of sociotechnical truth. Journal of the Association for Information Science and Technology asi.24820 . https://doi.org/10.1002/asi.24820
Hauser, E., Chan, Y. C., Bhalani, R., Kuchimanchi, A., Siddiqui, H., & Hart, J. (2024). Influencing Incidental Human-Robot Encounters: Expressive Movement Improves Pedestrians’ Impressions of a Quadruped Service Robot. https://hdl.handle.net/10125/106464
Hauser, E., Chan, Y. C., Chonkar, P., Hemkumar, G., Wang, H., Dua, D., Gupta, S., Enriquez, E. M., Kao, T., Hart, J., Mirsky, R., Biswas, J., Jiao, J., & Stone, P. (2023). "What’s That Robot Doing Here?": Perceptions Of Incidental Encounters With Autonomous Quadruped Robots. 1-15 . https://doi.org/10.1145/3597512.3599707
Hauser, E., Chan, Y. C., Modak, S., Biswas, J., & Hart, J. (2024). Vid2Real HRI: Align video-based HRI study designs with real-world settings. 542-548 . https://doi.org/10.1109/RO-MAN60168.2024.10731413
Hsiao, W. J., & Shorey, S. (2023). Machine visions: A corporate imaginary of artificial sight. New Media & Society 14614448231176765 . https://doi.org/10.1177/14614448231176765
Hu, J., Hendrix, R., Farhadi, A., Kembhavi, A., Martin-Martin, R., Stone, P., Zeng, K. H., & Ehsani, K. (2025). FLaRe: Achieving Masterful and Adaptive Robot Policies with Large-Scale Reinforcement Learning Fine-Tuning. https://doi.org/10.48550/arXiv.2409.16578
Joshi, V., Xu, Z., Liu, B., Stone, P., & Zhang, A. (2025). Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks. Reinforcement Learning Journal 2025 . https://www.cs.utexas.edu/~pstone/Papers/bib2html-links/viraj_joshi_rlc2025.pdf
Karnan, H., Nair, A., Xiao, X., Warnell, G., Pirk, S., Toshev, A., Hart, J., Biswas, J., & Stone, P. (2022). Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. https://doi.org/10.48550/ARXIV.2203.15041
Karnan, H., Yang, E., Warnell, G., Biswas, J., & Stone, P. (2023). Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning. https://doi.org/10.48550/ARXIV.2309.09912
Labiosa, A., Wang, Z., Agarwal, S., Cong, W., Hemkumar, G., Harish, A. N., Hong, B., Kelle, J., Li, C., Li, Y., Shao, Z., Stone, P., & Hanna, J. P. (2025). Reinforcement Learning Within the Classical Robotics Stack: A Case Study in Robot Soccer. https://doi.org/10.48550/ARXIV.2412.09417
Li, H., Shin, H., Sentis, L., Siu, K. C., Millán, J. D. R., & Lu, N. (2024). Combining VR with electroencephalography as a frontier of brain-computer interfaces. Device 2 (6) , 100425 . https://doi.org/10.1016/j.device.2024.100425
Li, H., Shin, H., Zhang, M., Yu, A., Huh, H., Kwon, G., Riveira, N., Kim, S., Gangopadahyay, S., Peng, J., Li, Z., Rao, Y., Sentis, L., Millán, J. D. R., & Lu, N. (2023). Hair-compatible sponge electrodes integrated on VR headset for electroencephalography. Soft Science 3 (3) , 21 . https://doi.org/10.20517/ss.2023.11
Liu, B., Zhu, Y., Gao, C., Feng, Y., Liu, Q., Zhu, Y., & Stone, P. (2023). LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning. https://papers.nips.cc/paper_files/paper/2023/hash/8c3c666820ea055a77726d66fc7d447f-Abstract-Datasets_and_Benchmarks.html
Mannem, S., Macke, W., Stone, P., & Mirsky, R. (2023). Exploring the Cost of Interruptions in Human-Robot Teaming. 1-8 . https://doi.org/10.1109/Humanoids57100.2023.10375236
Mao, L., Warnell, G., Stone, P., & Biswas, J. (2025). pacer: Preference-Conditioned All-Terrain Costmap Generation. IEEE Robotics and Automation Letters 10 (5) , 4572-4579 . https://doi.org/10.1109/LRA.2025.3549645
Munje, M. J., Tang, C., Liu, S., Hu, Z., Zhu, Y., Cui, J., Warnell, G., Biswas, J., & Stone, P. (2025). SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation. https://doi.org/10.48550/arXiv.2509.08757
Norman, E., Gupta, R., Stephens, K., & Sentis, L. (2024). Utilizing Organizational Communication Theory for Community Embedded Robotics. https://ceur-ws.org/Vol-3906/paper3_SCRITA.pdf
Norman, E., Stephens, K., Shorey, S., Biswas, J., Hart, J., Hauser, E., & Sentis, L. (2023). Bringing training, learning, and development into team science: Effectively freeing team members from disciplinary barriers in research.
Park, J. S., Xiao, X., Warnell, G., Yedidsion, H., & Stone, P. (2023). Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. 10033-10039 . https://doi.org/10.1109/ICRA48891.2023.10161327
Rabiee, S., & Biswas, J. (2023). Introspective perception for mobile robots. Artificial Intelligence 324 , 103999 . https://doi.org/10.1016/j.artint.2023.103999
Raj, A. H., Hu, Z., Karnan, H., Chandra, R., Payandeh, A., Mao, L., Stone, P., Biswas, J., & Xiao, X. (2024). Targeted Learning: A Hybrid Approach to Social Robot Navigation. https://cs.gmu.edu/~xiao/papers/hybrid_social_nav.pdf
Romanow, J. (2024). Kipling’s Administrative Imaginary: Imperial Ignorance as Information Management. Victorian Studies 66 (4) , 585-608 . https://doi.org/10.2979/vic.00194
Seo, M., Cho, Y., Sung, Y., Stone, P., Zhu, Y., & Kim, B. (2025). PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment Representation. https://doi.org/10.48550/arXiv.2409.16012
Stark, C., Chun, B., Charleston, C., Ravi, V., Pabon, L., Sunkari, S., Mohan, T., Stone, P., & Hart, J. (2024). An Overview of Dobby, A Conversational Service Robot.
Stark, C., Chun, B., Charleston, C., Ravi, V., Pabon, L., Sunkari, S., Mohan, T., Stone, P., & Hart, J. (2024). Dobby: A Conversational Service Robot Driven by GPT-4. 1362-1369 . https://doi.org/10.1109/RO-MAN60168.2024.10731375
Stephens, K. (2023). Using facilitated collaboration agreements in interdisciplinary teams: Overcoming the “we all know how to communicate” attitude!.
Sui, P., Rodriguez, J. D., Laban, P., Murphy, D., Dexter, J. P., So, R. J., Baker, S., & Chaudhuri, P. (2025). KRISTEVA: Close Reading as a Novel Task for Benchmarking Interpretive Reasoning. https://doi.org/10.48550/arXiv.2505.09825
Tang, C., Abbatematteo, B., Hu, J., Chandra, R., Martín-Martín, R., & Stone, P. (2025). Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. Annual Review of Control, Robotics, and Autonomous Systems 8 (1) , 153-188 . https://doi.org/10.1146/annurev-control-030323-022510
Trainum, K., Tunis, R., Xie, B., & Hauser, E. (2023). Robots in Assisted Living Facilities: Scoping Review. JMIR Aging 6 , e42652 . https://doi.org/10.2196/42652
Vekhter, J., & Biswas, J. (2023). Responsible Robotics: A Socio-Ethical Addition to Robotics Courses. Proceedings of the AAAI Conference on Artificial Intelligence 37 (13) , 15877-15885 . https://doi.org/10.1609/aaai.v37i13.26885
Verzic, N., Chadaga, A., & Hart, J. (2024). Recovering Missed Detections in an Elevator Button Segmentation Task. 13355-13362 . https://doi.org/10.1109/IROS58592.2024.10801499
Wang, C., Warnell, G., & Stone, P. (2023). D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning. https://doi.org/10.48550/ARXIV.2210.14428
Wang, Z., Hu, J., Stone, P., & Martin-Martin, R. (2023). ELDEN: Exploration via Local Dependencies. https://www.cs.utexas.edu/~pstone/Papers/bib2html/b2hd-jiaheng_hu_neurips2023.html
Wang, Z., Wang, C., Xiao, X., Zhu, Y., & Stone, P. (2024). Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning. https://www.cs.utexas.edu/~pstone/Papers/bib2html/b2hd-cbm-wang-aaai24.html
Xu, Y. (2024). Accomplishing Robotic Autonomy: The Complexities of Situated Practices and Agency in The Laboratory. 163-165 . https://doi.org/10.1145/3610978.3638355
Xu, Y. (2023). Envisioning a better world of human and technology: theoretical and empirical considerations to connect communication scholarship to ethical technology design. Annals of the International Communication Association 1-16 . https://doi.org/10.1080/23808985.2023.2255586
Xu, Z., Liu, B., Xiao, X., Nair, A., & Stone, P. (2023). Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. 9224-9230 . https://doi.org/10.1109/ICRA48891.2023.10160583
Xu, Z., Raj, A. H., Xiao, X., & Stone, P. (2024). Dexterous Legged Locomotion in Confined 3D Spaces with Reinforcement Learning. http://arxiv.org/abs/2403.03848
Xu, Z., Xu, Z., Jiang, R., Stone, P., & Tewari, A. (2024). Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks. https://www.cs.utexas.edu/~pstone/Papers/bib2html-links/ziping_xu_ICLR2024.pdf
Zhang, A., Eranki, C., Zhang, C., Park, J. H., Hong, R., Kalyani, P., Kalyanaraman, L., Gamare, A., Bagad, A., Esteva, M., & Biswas, J. (2024). Toward Robust Robot 3-D Perception in Urban Environments: The UT Campus Object Dataset. IEEE Transactions on Robotics 40 , 3322-3340 . https://doi.org/10.1109/TRO.2024.3400831
Zhang, X., Amiri, S., Sinapov, J., Thomason, J., Stone, P., & Zhang, S. (2023). Multimodal embodied attribute learning by robots for object-centric action policies. Autonomous Robots . https://doi.org/10.1007/s10514-023-10098-5
Zhou, X., Modak, S., Chan, Y. C., Deng, Z., Sentis, L., & Esteva, M. (2025). Curate, Connect, Inquire: A System for Findable Accessible Interoperable and Reusable (FAIR) Human-Robot Centered Datasets. https://doi.org/10.48550/ARXIV.2506.00220
Zifan, X., Zhang, Y., Shperberg, S., Mirsky, R., Jiang, Y., Liu, B., & Stone, P. (2023). Model-Based Meta Automatic Curriculum Learning. https://www.cs.utexas.edu/~pstone/Papers/bib2html-links/CoLLAs2023-ZIFAN.pdf