mlsanityData to 7 Oct 2026

Multi-Scenario Reasoning: Unlocking Cognitive Autonomy in Humanoid Robots for Multimodal Understanding

arXiv 2412.20429 ↗First posted 29 Dec 2024cs.RO cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

To improve the cognitive autonomy of humanoid robots, this research proposes a multi-scenario reasoning architecture to solve the technical shortcomings of multi-modal understanding in this field. It draws on simulation based experimental design that adopts multi-modal synthesis (visual, auditory, tactile) and builds a simulator "Maha" to perform the experiment. The findings demonstrate the feasibility of this architecture in multimodal data. It provides reference experience for the exploration of cross-modal interaction strategies for humanoid robots in dynamic environments. In addition, multi-scenario reasoning simulates the high-level reasoning mechanism of the human brain to humanoid robots at the cognitive level. This new concept promotes cross-scenario practical task transfer and semantic-driven action planning. It heralds the future development of self-learning and autonomous behavior of humanoid robots in changing scenarios.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 29 references that are in the map. First posted on arXiv 29 Dec 2024.

Builds on

13 of 29 references.

References · 13

  1. 2021Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learningcited by 882
  2. 2018Model-Based Reinforcement Learning via Meta-Policy Optimizationcited by 99
  3. 2023Robot Synesthesia: In-Hand Manipulation with Visuotactile Sensingcited by 51
  4. 2024Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformerscited by 51
  5. 2023Robot Learning in the Era of Foundation Models: A Surveycited by 37
  6. 2023World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challengescited by 35
  7. 2023Sim-to-Real Learning for Humanoid Box Loco-Manipulationcited by 30
  8. 2022Does a Technique for Building Multimodal Representation Matter? -- Comparative Analysiscited by 22
  9. 2022LSG Attention: Extrapolation of pretrained Transformers to long sequencescited by 16
  10. 2023Cross-modality Data Augmentation for End-to-End Sign Language Translationcited by 16
  11. 2022Visuo-Haptic Object Perception for Robots: An Overviewcited by 12
  12. 2023Hierarchical Reinforcement Learning Based on Planning Operatorscited by 2
1 more
  1. 2024Multimodal Coherent Explanation Generation of Robot Failurescited by 1

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.

  1. 2025Long Grounded Thoughts: Synthesizing Visual Problems and Reasoning Chains at Scalecited by 1