Open Source Robotics

A curated collection of high-quality open source robotics projects, tools, and software to propel the robotics community forward.

NeurIPS 2025

  • Dates: Dec 2 – 7, 2025
  • Place: San Diego, CA, USA
  • Venue: San Diego Convention Center
  • Organiser: Neural Information Processing Systems Foundation

NeurIPS 2025, the 39th Conference on Neural Information Processing Systems, was held 2-7 December 2025 at the San Diego Convention Center, with a satellite in Mexico City. About 26,382 people registered, and 5,290 of 21,575 submissions were accepted. Best Papers included Gated Attention for LLMs and 1000-layer self-supervised RL. Talk recordings are on neurips.cc/virtual/2025.

Key facts

  • Two host cities: NeurIPS 2025 ran 2-7 Dec in San Diego with an official satellite in Mexico City (30 Nov - 5 Dec) that drew 463 in-person attendees.
  • 26,382 registrants: About 26,382 people registered, including roughly 24,500 in person in San Diego and 2,366 virtual, up from 19,756 in 2024.
  • 21,575 submissions: The main program accepted 5,290 of 21,575 submissions, with 87 orals.
  • Best papers: Four Best Papers, including Gated Attention for LLMs, 1000-layer networks for self-supervised RL and Artificial Hivemind (Datasets & Benchmarks track), plus three runners-up.
  • Sutton keynote: Turing laureate Richard Sutton gave the opening keynote on the Oak architecture; all six invited talks are recorded on neurips.cc/virtual/2025.

Keynote speakers

  • Richard Sutton (Keen Technologies; University of Alberta; Amii): The Oak Architecture: A Vision of SuperIntelligence from Experience
  • Zeynep Tufekci (Princeton University): Are We Having the Wrong Nightmares About AI?
  • Yejin Choi (Stanford University; NVIDIA): The Art of (Artificial) Reasoning (Posner Lecture)
  • Melanie Mitchell (Santa Fe Institute): On the Science of “Alien Intelligences”: Evaluating Cognitive Capabilities in Babies, Animals, and AI
  • Kyunghyun Cho (New York University; Prescient Design, Genentech): From Benchmarks to Problems - A Perspective on Problem Finding in AI
  • Andrew Saxe (Gatsby Computational Neuroscience Unit and Sainsbury Wellcome Centre, UCL): Demystifying depth: Principles of learning in deep neural networks

Workshops

  • Embodied World Models for Decision Making: https://neurips.cc/virtual/2025/workshop/109532
  • Space in Vision, Language, and Embodied AI: https://neurips.cc/virtual/2025/workshop/109546
  • Workshop on Scaling Environments for Agents: https://neurips.cc/virtual/2025/workshop/109540
  • LAW 2025: Bridging Language, Agent, and World Models for Reasoning and Planning: https://neurips.cc/virtual/2025/workshop/109552
  • Multimodal Algorithmic Reasoning Workshop: https://neurips.cc/virtual/2025/workshop/109561

Official links

  • Website: https://neurips.cc/Conferences/2025
  • Talk recordings: https://neurips.cc/virtual/2025/index.html

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