fresh bytes
Subscribe Now

“Tell me Dave” robot learns simply by people talking to it

tellmedave-2.jpg

Many robots today are able to follow verbal instructions. However, the robot first has to be programmed with software code that allows it to respond to those instructions in some predetermined way, and that software must be added to every time the robot’s task list is enhanced. Wouldn’t it be easier if we could just avoid all that messy fiddling about with software and talk to a machine as we would a human and explain what we wanted it to do? Researchers at Cornell University thought so, that’s why they designed and built a learning robot as part of their “Tell me Dave” project.

Based on Willow Garage’s PR2 robot, the Tell me Dave robot follows on from previous research at Cornell that includes teaching robots to identify people’s activities by observing their movements, identifying objects and situations in an environment and responding accordingly based on previous experience, and using visual and non-visual data to refine a robot’s understanding of objects.
via Gizmag

Continue reading 

Leave a Reply

featured blogs
Apr 24, 2026
A thought experiment in curiosity, confusion, and cosmic consequences....

featured paper

Quickly and accurately identify inter-domain leakage issues in IC designs

Sponsored by Siemens Digital Industries Software

Power domain leakage is a major IC reliability issue, often missed by traditional tools. This white paper describes challenges of identifying leakage, types of false results, and presents Siemens EDA’s Insight Analyzer. The tool proactively finds true leakage paths, filters out false positives, and helps circuit designers quickly fix risks—enabling more robust, reliable chip designs. With detailed, context-aware analysis, designers save time and improve silicon quality.

Click to read more

featured chalk talk

GaN for Humanoid Robots
Sponsored by Mouser Electronics and Infineon
In this episode of Chalk Talk, Eric Persson and Amelia Dalton explore why power is the key driver for efficient and reliable robot movements and how GaN technologies can help motor control solutions be more compact, integrated and efficient. They also investigate the role of field-oriented control in humanoid robotic applications and why the choice of a GaN power transistor can make all the difference in your next humanoid robot project!
Apr 20, 2026
9,964 views