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J. Brooke, “SUS - A quick and dirty usability scale,” Usability evaluation in industry , vol. 189, 1996
1996
Earlier work this paper cites.
O. Khatib, “Mobile manipulation: The robotic assistant,” Robotics and Autonomous Systems , 1999
1999
Earlier work this paper cites.
S. G. Hart, “Nasa-task load index (nasa-tlx); 20 years later,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting , vol. 50, 2006
2006
Earlier work this paper cites.
G. Grisetti, C. Stachniss, and W. Burgard, “Improved techniques for grid mapping with rao-blackwellized particle filters,” IEEE transactions on Robotics , 2007
2007
Earlier work this paper cites.
H. Nguyen, A. Jain, C. Anderson, and C. C. Kemp, “A clickable world: Behavior selection through pointing and context for mobile manipulation,” in 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2008
2008
Earlier work this paper cites.
K. A. Wyrobek, E. H. Berger, H. M. Van der Loos, and J. K. Salisbury, “Towards a personal robotics development platform: Rationale and design of an intrinsically safe personal robot,” in 2008 IEEE International Conference on Robotics and Automation . IEEE, 2008, pp. 2165–2170
2008
Earlier work this paper cites.
A. Bangor, P. T. Kortum, and J. T. Miller, “An Empirical Evaluation of the System Usability Scale,” International Journal of Human–Computer Interaction , vol. 24, Jul. 2008
2008
Earlier work this paper cites.
U. Reiser, C. Connette, J. Fischer, J. Kubacki, A. Bubeck, F. Weisshardt, T. Jacobs, C. Parlitz, M. Hägele, and A. Verl, “Care-o-bot® 3-creating a product vision for service robot applications by integrating design and technology,” in 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2009
2009
Earlier work this paper cites.
T. Kollar, S. Tellex, D. Roy, and N. Roy, “Toward understanding natural language directions,” in 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2010, pp. 259–266
2010
Earlier work this paper cites.
R. Cantrell, M. Scheutz, P. Schermerhorn, and X. Wu, “Robust spoken instruction understanding for hri,” in 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) . IEEE, 2010, pp. 275–282
2010
Earlier work this paper cites.
S. Tellex, T. Kollar, S. Dickerson, M. Walter, A. Banerjee, S. Teller, and N. Roy, “Understanding natural language commands for robotic navigation and mobile manipulation,” in Proceedings of the AAAI Conference on Artificial Intelligence , 2011
2011
Earlier work this paper cites.
M. Ciocarlie, K. Hsiao, A. Leeper, and D. Gossow, “Mobile manipulation through an assistive home robot,” in 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems , 2012
2012
Earlier work this paper cites.
S. Chitta, I. Sucan, and S. Cousins, “Moveit![ros topics],” IEEE Robotics & Automation Magazine , 2012
2012
Earlier work this paper cites.
S. Guadarrama, E. Rodner, K. Saenko, N. Zhang, R. Farrell, J. Donahue, and T. Darrell, “Open-vocabulary object retrieval.” in Robotics: science and systems , vol. 2, no. 5, 2014, p. 6
2014
Earlier work this paper cites.
C. Matuszek, L. Bo, L. Zettlemoyer, and D. Fox, “Learning from unscripted deictic gesture and language for human-robot interactions,” in Proceedings of the AAAI Conference on Artificial Intelligence , 2014
2014
Earlier work this paper cites.
D. K. Misra, J. Sung, K. Lee, and A. Saxena, “Tell me dave: Context-sensitive grounding of natural language to manipulation instructions,” The International Journal of Robotics Research , 2016
2016
Earlier work this paper cites.
D. Whitney, M. Eldon, J. Oberlin, and S. Tellex, “Interpreting multimodal referring expressions in real time,” in 2016 IEEE International Conference on Robotics and Automation (ICRA) , 2016
2016
Earlier work this paper cites.
M. Wise, M. Ferguson, D. King, E. Diehr, and D. Dymesich, “Fetch and freight: Standard platforms for service robot applications,” in Workshop on autonomous mobile service robots , 2016, pp. 1–6
2016
Earlier work this paper cites.
D. Kent, C. Saldanha, and S. Chernova, “A comparison of remote robot teleoperation interfaces for general object manipulation,” in Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot Interaction , 2017
2017
Earlier work this paper cites.
J. Hatori, Y. Kikuchi, S. Kobayashi, K. Takahashi, Y. Tsuboi, Y. Unno, W. Ko, and J. Tan, “Interactively picking real-world objects with unconstrained spoken language instructions,” in 2018 IEEE International Conference on Robotics and Automation (ICRA) , 2018
2018
Cited alongside, same era.
C. Paxton, Y. Bisk, J. Thomason, A. Byravan, and D. Foxl, “Prospection: Interpretable plans from language by predicting the future,” in 2019 International Conference on Robotics and Automation (ICRA) , 2019
2019
Cited alongside, same era.
D. Ullman and B. F. Malle, “Mdmt: multi-dimensional measure of trust,” 2019
2019
Cited alongside, same era.
M. Shridhar, D. Mittal, and D. Hsu, “Ingress: Interactive visual grounding of referring expressions,” The International Journal of Robotics Research , 2020
2020
Cited alongside, same era.
U.S. Bureau of Labor Statistics, “American time use survey,” 2022
2022
Later among the works it cites.
J. Wu, R. Antonova, A. Kan, M. Lepert, A. Zeng, S. Song, J. Bohg, S. Rusinkiewicz, and T. Funkhouser, “Tidybot: Personalized robot assistance with large language models,” Autonomous Robots , vol. 47, no. 8, pp. 1087–1102, 2023
2023
Later among the works it cites.
S. Yenamandra, A. Ramachandran, K. Yadav, A. S. Wang, M. Khanna, T. Gervet, T.-Y. Yang, V. Jain, A. Clegg, J. M. Turner et al. , “Homerobot: Open-vocabulary mobile manipulation,” in Conference on Robot Learning , 2023
2023
Later among the works it cites.
C. H. Song, J. Wu, C. Washington, B. M. Sadler, W.-L. Chao, and Y. Su, “Llm-planner: Few-shot grounded planning for embodied agents with large language models,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
2023
Later among the works it cites.
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2020
Cited alongside, same era.
R. Hetrick, N. Amerson, B. Kim, E. Rosen, E. J. de Visser, and E. Phillips, “Comparing virtual reality interfaces for the teleoperation of robots,” in 2020 Systems and Information Engineering Design Symposium (SIEDS) . IEEE, 2020, pp. 1–7
2020
Cited alongside, same era.
H. Zhang, Y. Lu, C. Yu, D. Hsu, X. La, and N. Zheng, “Invigorate: Interactive visual grounding and grasping in clutter,” in Robotics: Science and Systems (RSS) , 2021
2021
Cited alongside, same era.
M. Shridhar, L. Manuelli, and D. Fox, “Cliport: What and where pathways for robotic manipulation,” in Conference on robot learning , 2021
2021
Cited alongside, same era.
Y. Chen, Q. Li, D. Kong, Y. L. Kei, S.-C. Zhu, T. Gao, Y. Zhu, and S. Huang, “Yourefit: Embodied reference understanding with language and gesture,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2021
2021
Cited alongside, same era.
A. Szot, A. Clegg, E. Undersander, E. Wijmans, Y. Zhao, J. Turner, N. Maestre, M. Mukadam, D. S. Chaplot, O. Maksymets et al. , “Habitat 2.0: Training home assistants to rearrange their habitat,” Advances in Neural Information Processing Systems , 2021
2021
Cited alongside, same era.
C. Li, F. Xia, R. Martín-Martín, M. Lingelbach, S. Srivastava, B. Shen, K. E. Vainio, C. Gokmen, G. Dharan, T. Jain et al. , “igibson 2.0: Object-centric simulation for robot learning of everyday household tasks,” in Conference on Robot Learning , 2021
2021
Cited alongside, same era.
S. Srivastava, C. Li, M. Lingelbach, R. Martín-Martín, F. Xia, K. E. Vainio, Z. Lian, C. Gokmen, S. Buch, K. Liu et al. , “Behavior: Benchmark for everyday household activities in virtual, interactive, and ecological environments,” in Conference on Robot Learning , 2021
2021
Cited alongside, same era.
D. Driess, F. Xia, M. S. Sajjadi, C. Lynch, A. Chowdhery, B. Ichter, A. Wahid, J. Tompson, Q. Vuong, T. Yu et al. , “Palm-e: an embodied multimodal language model,” in Proceedings of the 40th International Conference on Machine Learning , 2023, pp. 8469–8488
2023
Later among the works it cites.
K. Rana, J. Haviland, S. Garg, J. Abou-Chakra, I. Reid, and N. Suenderhauf, “Sayplan: Grounding large language models using 3d scene graphs for scalable robot task planning,” in Conference on Robot Learning , 2023
2023
Later among the works it cites.
L.-H. Lin, Y. Cui, Y. Hao, F. Xia, and D. Sadigh, “Gesture-informed robot assistance via foundation models,” in 7th Annual Conference on Robot Learning , 2023
2023
Later among the works it cites.
M. Bajracharya, J. Borders, R. Cheng, D. Helmick, L. Kaul, D. Kruse, J. Leichty, J. Ma, C. Matl, F. Michel et al. , “Demonstrating mobile manipulation in the wild: A metrics-driven approach,” in Robotics: Science and Systems (RSS) , 2023
2023
Later among the works it cites.
A. Radford, J. W. Kim, T. Xu, G. Brockman, C. McLeavey, and I. Sutskever, “Robust speech recognition via large-scale weak supervision,” in International conference on machine learning , 2023
2023
Later among the works it cites.
A. Kirillov, E. Mintun, N. Ravi, H. Mao, C. Rolland, L. Gustafson, T. Xiao, S. Whitehead, A. C. Berg, W.-Y. Lo et al. , “Segment anything,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
T. Z. Zhao, V. Kumar, S. Levine, and C. Finn, “Learning fine-grained bimanual manipulation with low-cost hardware,” in Robotics: Science and Systems (RSS) , 2023
2023
Later among the works it cites.
P. Liu, Y. Orru, J. Vakil, C. Paxton, N. M. M. Shafiullah, and L. Pinto, “Demonstrating ok-robot: What really matters in integrating open-knowledge models for robotics,” in Robotics: Science and Systems (RSS) , 2024
2024
Closest in time.
L. X. Shi, Z. Hu, T. Z. Zhao, A. Sharma, K. Pertsch, J. Luo, S. Levine, and C. Finn, “Yell at your robot: Improving on-the-fly from language corrections,” in Robotics: Science and Systems (RSS) , 2024
2024
Closest in time.
S. Dafarra, U. Pattacini, G. Romualdi, L. Rapetti, R. Grieco, K. Darvish, G. Milani, E. Valli, I. Sorrentino, P. M. Viceconte et al. , “icub3 avatar system: Enabling remote fully immersive embodiment of humanoid robots,” Science Robotics , vol. 9, no. 86, p. eadh3834, 2024
2024
Closest in time.
X. Cheng, J. Li, S. Yang, G. Yang, and X. Wang, “Open-television: Teleoperation with immersive active visual feedback,” in Conference on Robot Learning , 2024
2024
Closest in time.
M. Minderer, A. Gritsenko, and N. Houlsby, “Scaling open-vocabulary object detection,” Advances in Neural Information Processing Systems , vol. 36, 2024
2024
Closest in time.
J. Xu, H. Zhang, Q. Si, Y. Li, X. Lan, and T. Kong, “Towards unified interactive visual grounding in the wild,” in 2024 IEEE International Conference on Robotics and Automation (ICRA) , 2024, pp. 3288–3295
2024
Closest in time.
S. Yu, K. Lin, A. Xiao, J. Duan, and H. Soh, “Octopi: Object property reasoning with large tactile-language models,” in Robotics: Science and Systems (RSS) , 2024
2024
Closest in time.