Bjarne Johannsen • 2024-06-10
In recent developments, the field of robotics has seen a significant leap forward with the introduction of Vision-Language-Action Models (VLAMs). This breakthrough is transforming the capabilities of autonomous machines, enabling them to perform complex tasks with human-like understanding and interaction. At Sensmore, we are at the forefront of this revolution, leveraging VLAMs to enhance material handling in industries such as construction, mining and related.
VLAMs integrate text, images, and real-time data from a robot’s environment, creating a comprehensive model that allows robots to perceive, understand, and interact with their surroundings in a highly sophisticated manner. Unlike traditional AI models that may focus solely on language or visual data, VLAMs combine these with action-oriented data, enabling robots to execute tasks with a level of contextual awareness previously unattainable.
Embodied AI for Material Manipulation and Complex Tasks
Our loader autonomy system will exploits the power of VLAMs. The embodied AI can break down any complex material handling task into actionable steps, executing them in various environmental conditions.
Solve Any Task: Our AI-driven loaders can handle a wide range of material manipulation tasks by decomposing them into manageable actions.
Resist Any Harsh Conditions: Leveraging 4D radar technology, our loaders can see beyond the visible spectrum, through dust, darkness, and muddy conditions, providing unmatched performance in challenging environments.
Human-Centric Interaction
One of the most remarkable features of our technology is the ability to interact naturally with machinery through a human-centric interface. This advancement allows operators to command the machinery using natural language, making it easier to manage and control complex tasks without specialized programming knowledge.
Interact Naturally: Control the daily tasks of your machinery with an intuitive, human-centric interface, ensuring seamless interaction for your workers. For the first time, interact with your machinery in a truly human-centric way. Command your machinery in natural language; it will understand you and decompose the tasks into actionable steps.
Deep Environmental Understanding
Our embodied AI systems gain a understanding of their environment, even under the most severe conditions, thanks to the integration of 4D radar. This technology allows our loaders to perceive their surroundings with unparalleled accuracy, ensuring safe and efficient operations.
Deep Understanding of the Environment: Our AI gains a deep understanding of the environment by leveraging 4D radars that see beyond the visible spectrum, ensuring reliable performance through dust, darkness, and muddy conditions.
Handle Any Material: Our system enables different material handling across various material compositions, both underground and on the surface. It applies a generalizable expert policy to interact with the environment just like a human.
Understanding the Machine's Thoughts and Reasoning
Our technology provides operators with insights into the machine’s operations, anticipating the next steps and explaining its actions.
Understand the Thoughts and Reasoning of the Machine: Our technology anticipates the next steps and provides operators with a deep understanding of the machine's operations, making it easier to manage and optimize workflows.
The advancements in VLAMs and their application in autonomy are just the beginning. As AI continues to evolve, we expect to see even more sophisticated and capable autonomous machines, further transforming industries that rely on heavy machinery. At Sensmore, we are committed to leading this charge, providing cutting-edge solutions that drive efficiency, safety, and productivity.
If you are curious for more, you should check out this this recent article by the economist.