Key Laboratory of Coastal Urban Resilient Infrastructures (Ministry of Education), College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
2.
State Key Laboratory of Subtropical Building and Urban Science, Shenzhen University, Shenzhen 518060, China
3.
Key Laboratory of Coastal Urban Soil-Water Environmental Evolution, Ministry of Ecology and Environment (under construction), Shenzhen University, Shenzhen 518060, China
Fund Project:
This research was funded by the National Natural Science Foundation of China (Nos. 52325801, 52578136, 52402052). Academic Papers of the 28th Annual Meeting of the China Association for Science and Technology.
Recent advancements in artificial intelligence (AI), sensing, and mechanical systems have substantially expanded the functional capabilities of humanoid robots. However, their transition from laboratory demonstrations to sustained real-world operation remains fundamentally limited by onboard energy storage. Battery technology now represents a primary system-level constraint, shaping achievable runtime, mobility, and operational reliability. Humanoid robots place unusually demanding requirements on batteries, combining high energy density, robust power output, and stringent safety within severe mass and volume constraints. Current lithium-ion batteries (LIBs) struggle to satisfy these competing demands, leading to restricted endurance, thermal management challenges, and conservative operating envelopes. In this perspective, we identify battery systems as a central bottleneck in humanoid robotics and contend that meaningful progress will require coordinated innovation across materials, power-system architectures, and battery management. Emerging approaches, including high-energy-density cells, higher-voltage platforms, distributed and hybrid power architectures, and AI-driven battery management systems (BMS), offer pathways to extend operational duration while improving mobility and robustness. Advances in battery technology will therefore play a decisive role in enabling scalable, reliable humanoid robots for industrial and societal applications.
Li W., Wu J., Yang G., et al. (2025). Humanoid robots: progress, challenges, and future research directions. Sci. China Inf. Sci.68:216201. DOI:10.1007/s11432-025-4532-0
Tong Y. C., Liu H. T. and Zhang Z. T. (2024). Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects. IEEE-CAA J. Autom. Sin.11:301−328. DOI:10.1109/Jas.2023.124140
Geng Y., Tang H., Ji W., et al. (2025). Mobile Energy Storage (MES): A Grid-Edge Technology for Power Redistribution and Resilience Enhancement. Energy Use1:100022. DOI:10.59717/ipj.energy-use.2025.100022
Ngoy K. R., Lukong V. T., Yoro K. O., et al. (2025). Lithium-ion batteries and the future of sustainable energy: A comprehensive review. Renew. Sust. Energ. Rev.223:115971. DOI:10.1016/j.rser.2025.115971
Deng J., Yu X., Pang D., et al. (2025). Cutting-edge gas sensor design for monitoring thermal runaway in lithium-ion batteries: A critical review. J. Energy Chem.109:769−785. DOI:10.1016/j.jechem.2025.06.025
Khan A., Al Rashid H., Roy P. K., et al. (2025). Challenges and the Way to Improve Lithium-Ion Battery Technology for Next-Generation Energy Storage. Energy Environ. Mater.8:e70088. DOI:10.1002/eem2.70088
Li C., Li Y., Su T., et al. (2025). Wide-Temperature, High-Voltage, Flame-Retardant Electrolyte for 4.8V Li||NCM94 Batteries. Angew. Chem. Int. Ed. 64:e202509744. DOI:10.1002/anie.202509744
Mukherjee R., Ganguly P. and Dahiya R. (2023). Bioinspired Distributed Energy in Robotics and Enabling Technologies. Adv. Intell. Syst.5:2100036. DOI:10.1002/aisy.202100036
Deng J., Chen J. and Mo J. (2026). Powering Humanoid Robots: The Central Role of Battery Technology. Energy Use 2:100032. https://doi.org/10.59717/ipj.energy-use.2026.100032
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Deng J., Chen J. and Mo J. (2026). Powering Humanoid Robots: The Central Role of Battery Technology. Energy Use 2:100032. https://doi.org/10.59717/ipj.energy-use.2026.100032