Humanoid robots, sensor fusion, and situational awareness - Electrical Engineering News and Products
Beyond Wheels: Designing and Building a Walking/Bipedal Robot, KEYi Technology Energy-Aware Sensor Fusion Architecture for Autonomous Channel Robot Navigation in Constrained Environments, MDPI sensors Enhancing Human–Robot Collaboration through a Multi-Modu...
Key takeaways
- In September 2026 a wave of high‑profile announcements underscored the rapid expansion of humanoid robotics.
- NVIDIA unveiled “SONIC,” an AI controller that converts VR, video and natural‑language commands into robot actions, promising to broaden the motion repertoire of humanoids, while related work on “touch‑dreaming” techniques lifted task‑success rates by over 90 percent earlier in the year.
- Goldman Sachs dramatically raised its market outlook, projecting shipments of roughly 6.5 million humanoid robots by 2035—a five‑fold jump from its previous estimate—and valuing the sector at about $138 billion.
- In China, the People’s Liberation Army allocated about $300,000 in June to collect and label sensor data for fielded robots, and Reuters reported that the PLA is urging researchers to accelerate the transition of commercial humanoids into combat roles.
- That push coincided with Xpeng’s release of a video on September 11 showing its IRON humanoid walking off an assembly line unaided, and a Chinese startup, JoyIn, claiming its “Aether” model, built on a perceptive‑control approach, can achieve a 90 percent first‑attempt success rate—a claim it says mirrors OpenAI’s technology.
Beyond Wheels: Designing and Building a Walking/Bipedal Robot, KEYi Technology
Energy-Aware Sensor Fusion Architecture for Autonomous Channel Robot Navigation in Constrained Environments, MDPI sensors
Enhancing Human–Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection, Gesture and Gaze Recognition, MDPI sensors
Humanoid Factors: Design Principles for AI Humanoids in Human Worlds, arXiv
Humanoid Robot Reference Guide, STMicroelectronics
Multi-Sensor Data Fusion and CNN-LSTM Model for Human Activity Recognition System, MDPI sensors
Recent Advancements in Humanoid Robot Heads: Mechanics, Perception, and Computational Systems, MDPI biomimetics ### Morphological computations
The use of hands, in place of less capable end-effectors, is a key for deployment of advanced humanoids. Wrist and finger touch (tactile force) sensors can be fused with visual information from RGB cameras to identify and safely grasp and manipulate even fragile objects. Development of simplified methods is being pursued.
Figure 3. Multi-material 3D printed compliant hand. (Image: Soft Robotics Lab)
For example, a prototype was fabricated using multi-material 3D printing. Compliant materials were used for the sensors and joints, but a rigid material was used for the “bones” to provide support. Safety meets speeds: how next-gen sensors free robots from cages, imec
Soft Robotic Hand with Tactile Sensing, Oxford Robotics Institute
The Humanoid Robotics Nervous System: Perception, Balance, and Real-Time Control, Panasonic
What Is Morphological Computation? On How the Body Contributes to Cognition and Control, MIT
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