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What can a robot do without vision?
We gave our robot a sense of touch and showed it can recognize and retrieve objects with its cameras blindfolded.
Introducing Rhoda’s new tactile sensor—it feels pressure, texture, vibration, slip, and temperature, just like your fingertips.
As humans, our sense of touch complements vision, helping us manipulate objects even when we can’t see them clearly
Giving robots a sense of touch will help them pick parts from cluttered bins, align connectors, and adjust their grip as objects slip—even when vision falls short
Our tactile sensor and multimodal Direct Video-Action model are a step towards robots that “feel” like we do.
Read more here: rhoda.ai/research/giving-rob…
As humans, our sense of touch complements vision, helping us manipulate objects even when we can’t see them clearly
Giving robots a sense of touch will help them pick parts from cluttered bins, align connectors, and adjust their grip as objects slip—even when vision falls short
Our tactile sensor and multimodal Direct Video-Action model are a step towards robots that “feel” like we do.
Read more here: rhoda.ai/research/giving-rob…
In addition to contact-rich interactions, this application showcases other examples of coordination between the two arms.
Here, the right arm hooks and opens the strap while the left arm routes the drain hose behind it.
At Rhoda, we turn real-world robotics challenges into opportunities for fundamental research.
Interested in building the future of robotics? Explore opportunities and apply: rhoda.ai/careers
Packaging varies from box to box. Here, the model handles brown paper absent from this task's training data and places it in the paper bin.
Our focus is complete customer workflows, including the variability that comes with them. More industries and tasks to come.
At Rhoda, we tackle real-world problems through fundamental research.
Interested in building the future of robotics? Explore opportunities and apply: rhoda.ai/careers
At Rhoda, we care deeply about the science of pre-training for robotics.
In one of the most rigorous studies of its kind, over thousands of trials and hundreds of hours of robot evaluations, we show how scaling web-video pre-training leads to better real-world robot performance.
At Rhoda, we tackle real-world problems through fundamental research.
Interested in building the future of robotics? Feel free to apply via our careers page below.
rhoda.ai/careers