Publications

Living & Working with Robots

Publications

Agarwal, K., Jiang, Y., Hu, J., Liu, B., & Stone, P. (2025). L3M+P: Lifelong Planning with Large Language Models. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . https://doi.org/10.48550/arXiv.2508.01917

Bajaj, V., Sharon, G., & Stone, P. (2023). Task Phasing: Automated Curriculum Learning from Demonstrations. In ICAPS 202 . 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. In TAS '23: First International Symposium on Trustworthy Autonomous Systems , 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. In Association for the Advancement of Artificial Intelligence 2023 Spring Symposium .

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?. In IEEE International Conference on Robotics and Automation . 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. In Conference on Robot Learning (CORL 2024) . 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. In 20th International Conference on Open Repositories .

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. In International Digital Curation Conference .

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. In 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) .

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. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 6110-6116 . https://doi.org/10.1109/IROS55552.2023.10342501

Gupta, R., Norman, E., Shin, H., Deng, Z., Esteva, M., Lu, N., Stephens, K., & Sentis, L. (2026). Indoor human-mobile robot encounters: A transdisciplinary study on perceived safety. ACM Transactions on Human Robot Interaction .

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. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) , 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. In RSS Workshop on Social Robot 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. In 57th Hawaii International Conference on System Sciences . 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. In TAS '23: First International Symposium on Trustworthy Autonomous Systems , 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. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) , 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. In International Conference on Robotics and Automation (ICRA) . 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. In International Conference on Robotics and Automation. . 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. In International Conference on Robotics and Automation (ICRA) . 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. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023) Track on Datasets and Benchmarks . 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. In 2023 IEEE-RAS 22nd International Conference on Humanoid Robots (Humanoids) , 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. In Conference on Robot Learning (CoRL) 2025 . 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. In 33rd IEEE International Conference on Robot and Human Interactive Communication (RoMAN) - Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (SCRITAS) . 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. In National Communication Association Conference (NCA) .

Park, J. S., Xiao, X., Warnell, G., Yedidsion, H., & Stone, P. (2023). Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. In 2023 IEEE International Conference on Robotics and Automation (ICRA) , 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. In IEEE International Conference on Robotics and Automation (ICRA) 2024 . 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. In IEEE Interntional Conference on Robotics and Automation (ICRA) . https://doi.org/10.48550/arXiv.2409.16012

Shorey, S. (2023). Accounting for the Labor of AI Integration. https://ai100.stanford.edu/sites/g/files/sbiybj18871/files/media/file/ai100_essaycompetition.pdf

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. In 2024 ACM/IEEE International Conference on Human-Robot Interaction .

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. In 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN) , 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!. In National Communication Association Conference (NCA) .

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. In Association for Computational Linguistics . https://doi.org/https://aclanthology.org/2025.acl-long.1577/

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. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 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. In 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), . https://doi.org/10.48550/ARXIV.2210.14428

Wang, Z., Hu, J., Stone, P., & Martin-Martin, R. (2023). ELDEN: Exploration via Local Dependencies. In 37th Conference on Neural Information Processing Systems (NeurIPS 2023) . 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. In 38th Conference on Artificial Intelligence (AAAI 2024) . 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. In HRI '24: ACM/IEEE International Conference on Human-Robot Interaction , 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. In 2023 IEEE International Conference on Robotics and Automation (ICRA) , 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. In ICRA 2024 . 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. In The Twelfth International Conference on Learning Representations (ICLR) . 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. In ICRA Workshop: Human-Centered Robot Learning . 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. In The Second Conference on Lifelong Learning Agents (CoLLAs 2023) . https://www.cs.utexas.edu/~pstone/Papers/bib2html-links/CoLLAs2023-ZIFAN.pdf