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Recent advances in foundation models, especially in large multi-modal models and conversational agents, have ignited interest in the potential of generally capable embodied agents.
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Task-based agricultural mobile robots in arable farming: A review
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Ai2-thor: An interactive 3d environment for visual ai
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Pathak, D., Agrawal, P., Efros, A. A., and Darrell, T · 2017
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Elements of causal inference: foundations and learning algorithms
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Automation, robotics, and the factory of the future
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Chernozhukov, V., Chetverikov, D., Demirer, M., Duflo, E., Hansen, C., Newey, W., and Robins, J · 2018
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A new metric for evaluating semantic segmentation: leveraging global and contour accuracy
Fernandez-Moral, E., Martins, R., Wolf, D., and Rives, P · 2018
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Ha, D. and Schmidhuber, J · 2018
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A comparison of methods for model selection when estimating individual treatment effects
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Estimation and inference of heterogeneous treatment effects using random forests
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The tactip family: Soft optical tactile sensors with 3d-printed biomimetic morphologies
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Semantickitti: A dataset for semantic scene understanding of lidar sequences
Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., Stachniss, C., and Gall, J · 2019
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Automated versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition
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Deepmdp: Learning continuous latent space models for representation learning
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Review of causal discovery methods based on graphical models
Glymour, C., Zhang, K., and Spirtes, P · 2019
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Learning latent dynamics for planning from pixels
Hafner, D., Lillicrap, T., Fischer, I., Villegas, R., Ha, D., Lee, H., and Davidson, J · 2019
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Detecting causal relationships in simulation models using intervention-based counterfactual analysis
Herd, B. C. and Miles, S · 2019
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When to trust your model: Model-based policy optimization
Janner, M., Fu, J., Zhang, M., and Levine, S · 2019
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Comment: Strengthening Empirical Evaluation of Causal Inference Methods
Jensen, D · 2019
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Humanoid robots in aircraft manufacturing: The airbus use cases
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Eddi: Efficient dynamic discovery of high-value information with partial vae
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Robdekon: Robotic systems for decontamination in hazardous environments
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Learning causal state representations of partially observable environments
Zhang, A., Lipton, Z. C., Pineda, L., Azizzadenesheli, K., Anandkumar, A., Itti, L., Pineau, J., and Furlanello, T · 2019
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Causalworld: A robotic manipulation benchmark for causal structure and transfer learning
Ahmed, O., Träuble, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., and Bauer, S · 2020
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Affordances in robotic tasks–a survey
Ardón, P., Pairet, È., Lohan, K. S., Ramamoorthy, S., and Petrick, R · 2020
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Objectnav revisited: On evaluation of embodied agents navigating to objects
Batra, D., Gokaslan, A., Kembhavi, A., Maksymets, O., Mottaghi, R., Savva, M., Toshev, A., and Wijmans, E · 2020
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Emergent complexity and zero-shot transfer via unsupervised environment design
Dennis, M., Jaques, N., Vinitsky, E., Bayen, A., Russell, S., Critch, A., and Levine, S · 2020
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Robots in industry: The past, present, and future of a growing collaboration with humans
Grau, A., Indri, M., Bello, L. L., and Sauter, T · 2020
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Mastering atari with discrete world models
Hafner, D., Lillicrap, T., Norouzi, M., and Ba, J · 2020
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Potential outcome and directed acyclic graph approaches to causality: Relevance for empirical practice in economics
Imbens, G. W · 2020
Chain-of-thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Xia, F., Chi, E., Le, Q. V., Zhou, D., et al · 2022
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Can foundation models talk causality?
Willig, M., Zečević, M., Dhami, D. S., and Kersting, K · 2022
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A survey on causal discovery: Theory and practice
Zanga, A., Ozkirimli, E., and Stella, F · 2022
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Automatic chain of thought prompting in large language models
Zhang, Z., Zhang, A., Li, M., and Smola, A · 2022
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Offline reinforcement learning with causal structured world models
Zhu, Z.-M., Chen, X.-H., Tian, H.-L., Zhang, K., and Yu, Y · 2022
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Sim2real predictivity: Does evaluation in simulation predict real-world performance?
Kadian, A., Truong, J., Gokaslan, A., Clegg, A., Wijmans, E., Lee, S., Savva, M., Chernova, S., and Batra, D · 2020
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Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation
Lambeta, M., Chou, P.-W., Tian, S., Yang, B., Maloon, B., Most, V. R., Stroud, D., Santos, R., Byagowi, A., Kammerer, G., et al · 2020
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Causal world models by unsupervised deconfounding of physical dynamics
Li, M., Yang, M., Liu, F., Chen, X., Chen, Z., and Wang, J · 2020
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Counterfactual cross-validation: Stable model selection procedure for causal inference models
Saito, Y. and Yasui, S · 2020
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Mastering atari, go, chess and shogi by planning with a learned model
Schrittwieser, J., Antonoglou, I., Hubert, T., Simonyan, K., Sifre, L., Schmitt, S., Guez, A., Lockhart, E., Hassabis, D., Graepel, T., et al · 2020
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Planning to explore via self-supervised world models
Sekar, R., Rybkin, O., Daniilidis, K., Abbeel, P., Hafner, D., and Pathak, D · 2020
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A perovskite retinomorphic sensor
Trujillo Herrera, C. and Labram, J. G · 2020
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Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al · 2023
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Diffusion world models, 2023
Alonso, E., Jelley, A., Kanervisto, A., and Pearce, T · 2023
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Autonomous chemical research with large language models
Boiko, D. A., MacKnight, R., Kline, B., and Gomes, G · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Bubeck, S., Chandrasekaran, V., Eldan, R., Gehrke, J., Horvitz, E., Kamar, E., Lee, P., Lee, Y. T., Li, Y., Lundberg, S., et al · 2023
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Llava-interactive: An all-in-one demo for image chat, segmentation, generation and editing
Chen, W.-G., Spiridonova, I., Yang, J., Gao, J., and Li, C · 2023
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Foundation models in robotics: Applications, challenges, and the future
Firoozi, R., Tucker, J., Tian, S., Majumdar, A., Sun, J., Liu, W., Zhu, Y., Song, S., Kapoor, A., Hausman, K., et al · 2023
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Humanoid robots: Sooner than you might think, 2023
GoldmanSachs · 2023
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Detecting and preventing hallucinations in large vision language models
Gunjal, A., Yin, J., and Bas, E · 2023
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Mastering diverse domains through world models
Hafner, D., Pasukonis, J., Ba, J., and Lillicrap, T · 2023
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Gaia-1: A generative world model for autonomous driving
Hu, A., Russell, L., Yeo, H., Murez, Z., Fedoseev, G., Kendall, A., Shotton, J., and Corrado, G · 2023
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CLadder: A benchmark to assess causal reasoning capabilities of language models
Jin*, Z., Chen*, Y., Leeb*, F., Gresele*, L., Kamal, O., Lyu, Z., Blin, K., Gonzalez, F., Kleiman-Weiner, M., Sachan, M., and Schölkopf, B · 2023
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Causal reasoning and large language models: Opening a new frontier for causality
Kıcıman, E., Ness, R., Sharma, A., and Tan, C · 2023
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Pclast: Discovering plannable continuous latent states
Koul, A., Sujit, S., Chen, S., Evans, B., Wu, L., Xu, B., Chari, R., Islam, R., Seraj, R., Efroni, Y., et al · 2023
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Multimodal foundation models: From specialists to general-purpose assistants
Li, C., Gan, Z., Yang, Z., Yang, J., Li, L., Wang, L., and Gao, J · 2023
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Liu, H., Li, C., Wu, Q., and Lee, Y. J · 2023
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High precision causal model evaluation with conditional randomization
Ma, C. and Zhang, C · 2023
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Eureka: Human-level reward design via coding large language models
Ma, Y. J., Liang, W., Wang, G., Huang, D.-A., Bastani, O., Jayaraman, D., Zhu, Y., Fan, L., and Anandkumar, A · 2023
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How to select predictive models for causal inference?
Matthieu, D. and Gaël, V · 2023
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Transformers are sample efficient world models
Micheli, V., alonso, E., and Fleuret, F · 2023
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Deep learning approaches to grasp synthesis: A review
Newbury, R., Gu, M., Chumbley, L., Mousavian, A., Eppner, C., Leitner, J., Bohg, J., Morales, A., Asfour, T., Kragic, D., et al · 2023
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Assistive robotic systems in nursing care: a scoping review
Ohneberg, C., Stöbich, N., Warmbein, A., Rathgeber, I., Mehler-Klamt, A. C., Fischer, U., and Eberl, I · 2023
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Open X-Embodiment: Robotic learning datasets and RT-X models
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Habitat 3.0: A co-habitat for humans, avatars and robots
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World models via policy-guided trajectory diffusion
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Transformer-based world models are happy with 100k interactions
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Velma: Verbalization embodiment of llm agents for vision and language navigation in street view
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