Search Results - stefanie+tellex

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Time-Lapse Light Field Photography With a 7 DoF Arm
Overview Robots that have an arm for gripping and grasping may be asked to pick up objects with a wide variety of shapes, weights, sizes, and colors. One particularly challenging job for a robot is to grasp shiny or transparent objects, whose translucence or reflections may fool the robotic vision system. Tellex and colleagues invented a robotic arm...
Published: 6/6/2024   |   Inventor(s): Stefanie Tellex, John Oberlin
Keywords(s):  
Category(s): Computer Vision, Machine Vision, Robotics
Sequence-to-Sequence Language Grounding of Non-Markovian Task Specifications
Overview There are existing ways to translate a person’s instructions for a robot into a series of logical functions that the machine can execute to achieve the goal, such as Linear Temporal Logic (LTL). Such approaches are powerful, but they are also technical and complex; a non-expert could not be expected to learn this language to communicate...
Published: 6/6/2024   |   Inventor(s): Stefanie Tellex
Keywords(s):  
Category(s): Robotics, Software
Probabilistic Object Models for Robust, Repeatable Pick-and-Place
Overview Picking up an object is one of the simplest tasks a person can perform. For a robot, however, such a task requires a suite of surprisingly complex abilities. The machine must have a capable grasping hand capable of exerting just the right amount of force—enough to avoid dropping the object, but not so much as to crush it. The robot must...
Published: 6/6/2024   |   Inventor(s): Stefanie Tellex, John Oberlin
Keywords(s):  
Category(s): Robotics, Software
Multi-Object Search Using Object-Oriented POMDPs
Overview The robots of the future may be called upon to search for a variety of objects and to do so in unfamiliar territory. An established method called Partially Observable Markov Decision Processes (POMDPs) allows a robot to make decisions in the correct order even faced with uncertain conditions. However, these POMDPs struggle to keep pace...
Published: 6/6/2024   |   Inventor(s): Stefanie Tellex, Arthur Richard Wandzel
Keywords(s):  
Category(s): Robotics, Software, Natural Language Processing
Accurately and Efficiently Interpreting Human-Robot Instructions of Varying Granularities
Overview Robots that work alongside humans must be able to understand directions and instructions in natural language. But not all instructions are created equal. For example, a human operating a forklift intuitively understands the difference between what researchers would call a high-level action, like “grab a pallet,” and a low-level...
Published: 6/6/2024   |   Inventor(s): Stefanie Tellex, Lawson Wong, Nakul Gopalan, Dilip Arumugam, Siddharth Karamcheti
Keywords(s):  
Category(s): Robotics, Natural Language Processing, Software
Teaching Robots to Draw
Overview Modern robotic arms have been trained to mimic the motions of the human arm to perform tasks humans would otherwise need to do. This includes industrial robots that were created to handle radioactive or biohazardous waste that would be dangerous for humans to touch, as well as robots built to manipulate objects in warehouses or factories....
Published: 10/12/2022   |   Inventor(s): Stefanie Tellex, Atsunobu Kotani
Keywords(s):  
Category(s): Robotics
Monolithic White and Multi-Color Lasers Tunable in Full Visible Spectrum
Semiconductor lasers able to emit over the full visible color spectrum have a wide range of practical applications such as solid-state lighting, full-color displays, visible color communications, and multi-color fluorescence sensing. To the human eye, light with a mixture of four monochromatic lasers is visually equivalent to a white illuminant. Current...
Published: 2/23/2023   |   Inventor(s): Cun-Zheng Ning, Sunay Turkdogan, Zhicheng Liu, Fan Fan
Keywords(s): Materials and Electronics
Category(s): Advanced Materials/Nanotechnology, Chemical/Biological Sensors, Energy & Power, Imaging, Medical Imaging, Physical Science, Physics, Proteomic Assays/Reagents/Tools, Semiconductor Devices, Semiconductors, Materials & Processes