Search Results - Robotics

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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: 8/9/2022 | Inventor(s): Stefanie Tellex, Atsunobu Kotani

Keywords(s):

Category(s): Robotics