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Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry.
M. Toussaint, “Logic-geometric programming: An optimization-based approach to combined task and motion planning.” in IJCAI , 2015, pp. 1930–1936
1936
Earlier work this paper cites.
A. Furnham, “Response bias, social desirability and dissimulation,” Personality and individual differences , vol. 7, no. 3, pp. 385–400, 1986
1986
Earlier work this paper cites.
J. Illingworth and J. Kittler, “A survey of the hough transform,” Computer vision, graphics, and image processing , vol. 44, no. 1, pp. 87–116, 1988
1988
Earlier work this paper cites.
J. J. Fortman and K. M. Stubbs, “Demonstrations with red cabbage indicator,” Journal of chemical education , vol. 69, no. 1, p. 66, 1992
1992
Earlier work this paper cites.
J. Brooke, “SUS: A quick and dirty usability scale,” Usability Eval. Ind. , vol. 189, 11 1995
1995
Earlier work this paper cites.
D. McDermott, M. Ghallab, A. Howe, C. Knoblock, A. Ram, M. Veloso, D. Weld, and D. Wilkins, “PDDL-the planning domain definition language,” Technical Report CVC TR98003/DCS TR1165. New Haven, CT: Yale Center for Computational Vision and Control, Tech. Rep. 123, 1998. [Online]. Available: http://www.example.com/advancements_report
1998
Earlier work this paper cites.
G. Bradski, “The OpenCV Library,” Dr. Dobb’s Journal of Software Tools , 2000
2000
Earlier work this paper cites.
M. Fox and D. Long, “Pddl2. 1: An extension to pddl for expressing temporal planning domains,” Journal of artificial intelligence research , vol. 20, pp. 61–124, 2003
2003
Earlier work this paper cites.
S. G. Hart, “NASA-task load index (NASA-TLX); 20 years later,” in Proceedings of the human factors and ergonomics society annual meeting , vol. 50. Sage publications Sage CA: Los Angeles, CA, 2006, pp. 904–908
2006
Earlier work this paper cites.
M. Helmert, “The fast downward planning system,” Journal of Artificial Intelligence Research , vol. 26, pp. 191–246, 2006
2006
Earlier work this paper cites.
G. M. Swain, “Solid electrode materials: pretreatment and activation,” in Handbook of electrochemistry . Elsevier, 2007, pp. 111–153
2007
Earlier work this paper cites.
M. Quan, D. Sanchez, M. F. Wasylkiw, and D. K. Smith, “Voltammetry of quinones in unbuffered aqueous solution: reassessing the roles of proton transfer and hydrogen bonding in the aqueous electrochemistry of quinones,” Journal of the American Chemical Society , vol. 129, no. 42, pp. 12 847–12 856, 2007
2007
Earlier work this paper cites.
E. Olson, “Apriltag: A robust and flexible visual fiducial system,” in 2011 IEEE international conference on robotics and automation . IEEE, 2011, pp. 3400–3407
2011
Earlier work this paper cites.
S. Karaman and E. Frazzoli, “Sampling-based algorithms for optimal motion planning,” Int. J. Robot. Res. , vol. 30, no. 7, pp. 846–894, 2011
2011
Earlier work this paper cites.
B. Huskinson, M. P. Marshak, C. Suh, S. Er, M. R. Gerhardt, C. J. Galvin, X. Chen, A. Aspuru-Guzik, R. G. Gordon, and M. J. Aziz, “A metal-free organic–inorganic aqueous flow battery,” Nature , vol. 505, no. 7482, pp. 195–198, 2014
2014
Earlier work this paper cites.
P. Beeson and B. Ames, “Trac-ik: An open-source library for improved solving of generic inverse kinematics,” in 2015 IEEE-RAS 15th International Conference on Humanoid Robots (Humanoids) . IEEE, 2015, pp. 928–935
2015
Earlier work this paper cites.
Y. Liu and X. Jiang, “Why microfluidics? merits and trends in chemical synthesis,” Lab on a Chip , vol. 17, no. 23, pp. 3960–3978, 2017
2017
Earlier work this paper cites.
L. M. Roch, F. Häse, C. Kreisbeck, T. Tamayo-Mendoza, L. P. Yunker, J. E. Hein, and A. Aspuru-Guzik, “ChemOS: orchestrating autonomous experimentation,” Science Robotics , vol. 3, no. 19, 2018
2018
Earlier work this paper cites.
A. Aspuru-Guzik, R. Lindh, and M. Reiher, “The matter simulation (r) evolution,” ACS central science , vol. 4, no. 2, pp. 144–152, 2018
2018
Earlier work this paper cites.
M. A. Toussaint, K. R. Allen, K. A. Smith, and J. B. Tenenbaum, “Differentiable physics and stable modes for tool-use and manipulation planning,” Robotics: Science and Systems Foundation , 2018
2018
Earlier work this paper cites.
S. Edelkamp, M. Lahijanian, D. Magazzeni, and E. Plaku, “Integrating temporal reasoning and sampling-based motion planning for multigoal problems with dynamics and time windows,” IEEE Robotics and Automation Letters , vol. 3, no. 4, pp. 3473–3480, 2018
2018
Earlier work this paper cites.
2018
Earlier work this paper cites.
N. Elgrishi, K. J. Rountree, B. D. McCarthy, E. S. Rountree, T. T. Eisenhart, and J. L. Dempsey, “A practical beginner’s guide to cyclic voltammetry,” Journal of chemical education , vol. 95, no. 2, pp. 197–206, 2018
2018
Earlier work this paper cites.
C. Steinruecken, E. Smith, D. Janz, J. Lloyd, and Z. Ghahramani, “The automatic statistician,” Automated machine learning: Methods, systems, challenges , pp. 161–173, 2019
2019
Earlier work this paper cites.
S. Steiner, J. Wolf, S. Glatzel, A. Andreou, J. M. Granda, G. Keenan, T. Hinkley, G. Aragon-Camarasa, P. J. Kitson, D. Angelone et al. , “Organic synthesis in a modular robotic system driven by a chemical programming language,” Science , vol. 363, no. 6423, p. eaav2211, 2019
2019
Earlier work this paper cites.
F. Häse, L. M. Roch, and A. Aspuru-Guzik, “Next-generation experimentation with self-driving laboratories,” Trends in Chemistry , vol. 1, no. 3, pp. 282–291, 2019
2019
Earlier work this paper cites.
“ph,” International Union of Pure and Applied Chemistry (IUPAC) , 2019. [Online]. Available: https://doi.org/10.1351/goldbook.P04524
2019
Earlier work this paper cites.
M. A. Lee, Y. Zhu, K. Srinivasan, P. Shah, S. Savarese, L. Fei-Fei, A. Garg, and J. Bohg, “Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks,” in 2019 International Conference on Robotics and Automation (ICRA) . IEEE, 2019, pp. 8943–8950
2019
Earlier work this paper cites.
Z. Kingston, M. Moll, and L. E. Kavraki, “Exploring implicit spaces for constrained sampling-based planning,” Int. J. Robot. Res. , vol. 38, no. 10-11, pp. 1151–1178, 2019
2019
Earlier work this paper cites.
“redox potential,” International Union of Pure and Applied Chemistry (IUPAC) , 2019. [Online]. Available: https://doi.org/10.1351/goldbook.RT06783
2019
Earlier work this paper cites.
Stereolabs, “ ZED Mini Camera and SDK Overview ,” 2019
2019
Cited alongside, same era.
S. H. M. Mehr, M. Craven, A. I. Leonov, G. Keenan, and L. Cronin, “A universal system for digitization and automatic execution of the chemical synthesis literature,” Science , vol. 370, no. 6512, pp. 101–108, 2020
2020
Cited alongside, same era.
B. Burger, P. M. Maffettone, V. V. Gusev, C. M. Aitchison, Y. Bai, X. Wang, X. Li, B. M. Alston, B. Li, R. Clowes et al. , “A mobile robotic chemist,” Nature , vol. 583, no. 7815, pp. 237–241, 2020
2020
Cited alongside, same era.
S. Eppel, H. Xu, M. Bismuth, and A. Aspuru-Guzik, “Computer vision for recognition of materials and vessels in chemistry lab settings and the vector-labpics data set,” ACS Central Science , vol. 6, no. 10, pp. 1743–1752, 2020. [Online]. Available: https://doi.org/10.1021/acscentsci.0c00460
2020
Cited alongside, same era.
Z. Ren, Z. Zhang, Y. Tian, and J. Li, “CRESt – copilot for real-world experimental scientist,” ChemRxiv , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
D. A. Boiko, R. MacKnight, B. Kline, and G. Gomes, “Autonomous chemical research with large language models,” Nature , 2023
2023
Later among the works it cites.
M. Khodeir, B. Agro, and F. Shkurti, “Learning to search in task and motion planning with streams,” IEEE Robotics and Automation Letters , 2023
2023
Later among the works it cites.
N. Kumar, W. McClinton, R. Chitnis, T. Silver, T. Lozano-Pérez, and L. P. Kaelbling, “Learning efficient abstract planning models that choose what to predict,” in 7th Annual Conference on Robot Learning , 2023
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T. Zepel, V. Lai, L. P. E. Yunker, and J. E. Hein, “Automated liquid-level monitoring and control using computer vision,” ChemRxiv , 2020
2020
Cited alongside, same era.
C. R. Garrett, T. Lozano-Pérez, and L. P. Kaelbling, “PDDLStream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,” in Proceedings of the 30th Int. Conf. on Automated Planning and Scheduling (ICAPS) . AAAI Press, 2020, pp. 440–448
2020
Cited alongside, same era.
C. D. Hubbs, C. Li, N. V. Sahinidis, I. E. Grossmann, and J. M. Wassick, “A deep reinforcement learning approach for chemical production scheduling,” Computers & Chemical Engineering , vol. 141, p. 106982, 2020
2020
Cited alongside, same era.
D. M. Heard and A. J. Lennox, “Electrode materials in modern organic electrochemistry,” Angewandte Chemie International Edition , vol. 59, no. 43, pp. 18 866–18 884, 2020
2020
Cited alongside, same era.
C. Labrín and F. Urdinez, “Principal component analysis,” in R for Political Data Science . Chapman and Hall/CRC, 2020, pp. 375–393
2020
Cited alongside, same era.
M. Christensen, L. P. Yunker, P. Shiri, T. Zepel, P. L. Prieto, S. Grunert, F. Bork, and J. E. Hein, “Automation isn’t automatic,” Chemical Science , vol. 12, no. 47, pp. 15 473–15 490, 2021
2021
Cited alongside, same era.
2021
Cited alongside, same era.
A. C. Vaucher, P. Schwaller, J. Geluykens, V. H. Nair, A. Iuliano, and T. Laino, “Inferring experimental procedures from text-based representations of chemical reactions,” Nature communications , vol. 12, no. 1, p. 2573, 2021
2021
Cited alongside, same era.
2023
Later among the works it cites.
D. Long, J. Dolejsi, and M. Stolba, “Scheduling problems in PDDL,” in Workshop on Knowledge Engineering for Planning and Scheduling , 2023
2023
Later among the works it cites.
K. Darvish, L. Penco, J. Ramos, R. Cisneros, J. Pratt, E. Yoshida, S. Ivaldi, and D. Pucci, “Teleoperation of humanoid robots: A survey,” IEEE Transactions on Robotics , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
R. El-khawaldeh, M. A. Guy, F. Bork, N. Taherimakhsousi, K. N. Jones, J. Hawkins, L. Han, R. P. Pritchard, B. Cole, S. Monfette et al. , “Keeping an “eye” on the experiment: computer vision for real-time monitoring and control,” Chemical Science , 2023
2023
Later among the works it cites.
P. K. Murali, B. Porr, and M. Kaboli, “Touch if it’s transparent! actor: Active tactile-based category-level transparent object reconstruction,” in 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) . IEEE, 2023, pp. 10 792–10 799
2023
Later among the works it cites.
J. Jiang, G. Cao, J. Deng, T.-T. Do, and S. Luo, “Robotic perception of transparent objects: A review,” IEEE Transactions on Artificial Intelligence , 2023
2023
Later among the works it cites.
I. Singh, V. Blukis, A. Mousavian, A. Goyal, D. Xu, J. Tremblay, D. Fox, J. Thomason, and A. Garg, “ProgPrompt: Program generation for situated robot task planning using large language models,” Autonomous Robots , pp. 1–14, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
M. Khodeir, A. Sonwane, R. Hari, and F. Shkurti, “Policy-guided lazy search with feedback for task and motion planning,” in 2023 IEEE International Conference on Robotics and Automation (ICRA) . IEEE, 2023, pp. 3743–3749
2023
Later among the works it cites.
S. Yao, J. Zhao, D. Yu, N. Du, I. Shafran, K. R. Narasimhan, and Y. Cao, “ReAct: Synergizing reasoning and acting in language models,” in The Eleventh International Conference on Learning Representations , 2023. [Online]. Available: https://openreview.net/forum?id=WE_vluYUL-X
2023
Later among the works it cites.
2023
Later among the works it cites.
A. Majumdar, F. Xia, B. Ichter, D. Batra, and L. Guibas, “Findthis: Language-driven object disambiguation in indoor environments,” in Conference on Robot Learning . PMLR, 2023, pp. 1335–1347
2023
Later among the works it cites.
S. Liu, Z. Zeng, T. Ren, F. Li, H. Zhang, J. Yang, C. Li, J. Yang, H. Su, J. Zhu, and L. Zhang, “Grounding DINO: Marrying DINO with grounded pre-training for open-set object detection,” 2023
2023
Later among the works it cites.
Z. Zou, K. Chen, Z. Shi, Y. Guo, and J. Ye, “Object detection in 20 years: A survey,” Proceedings of the IEEE , vol. 111, no. 3, pp. 257–276, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
Stereolabs, “ZED 2 - AI Stereo Camera,” https://www.stereolabs.com/products/zed-2 , accessed: 2023-12-22
2023
Later among the works it cites.
M. Walker, G. Pizzuto, H. Fakhruldeen, and A. I. Cooper, “Go with the flow: deep learning methods for autonomous viscosity estimations,” Digital Discovery , vol. 2, pp. 1540–1547, 2023. [Online]. Available: http://dx.doi.org/10.1039/D3DD00109A
2023
Later among the works it cites.
H. E. Grecco, M. C. Dartiailh, G. Thalhammer-Thurner, T. Bronger, and F. Bauer, “Pyvisa: the python instrumentation package,” Journal of Open Source Software , vol. 8, no. 84, p. 5304, 2023
2023
Later among the works it cites.
K. Laws, M. Tze-Kiat Ng, A. Sharma, Y. Jiang, A. J. Hammer, and L. Cronin, “An autonomous electrochemical discovery robot that utilises probabilistic algorithms: Probing the redox behaviour of inorganic materials,” ChemElectroChem , vol. 11, no. 1, p. e202300532, 2024
2024
Closest in time.
R. Duke, S. Mahmoudi, A. P. Kaur, V. Bhat, I. Dingle, N. C. Stumme, S. K. Shaw, D. Eaton, A. Vego, and C. Risko, “Expflow: a graphical user interface for automated reproducible electrochemistry,” Digital Discovery , vol. 3, pp. 163–172, 2024
2024
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N. Yoshikawa, G. D. Akkoc, S. Pablo-García, Y. Cao, H. Hao, and A. Aspuru-Guzik, “Does one need to polish electrodes in an eight pattern? automation provides the answer.” ChemRxiv , 2024
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S. Pablo-García, Á. García, G. D. Akkoc, M. Sim, Y. Cao, M. Somers, C. Hattrick, N. Yoshikawa, D. Dworschak, H. Hao, and A. Aspuru-Guzik, “An affordable platform for automated synthesis and electrochemical characterization,” Device , 2024
2024
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M. Skreta, Z. Zhou, J. L. Yuan, K. Darvish, A. Aspuru-Guzik, and A. Garg, “RePLan: Robotic replanning with perception and language models,” 2024
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