Learning robotic gras** strategy based on natural-language object descriptions
Given the description of an object, s physical attributes, humans can determine a proper
strategy and grasp an object. This paper proposes an approach to determine gras** …
strategy and grasp an object. This paper proposes an approach to determine gras** …
Bridging the Gap to Natural Language-based Grasp Predictions through Semantic Information Extraction
Enabling multi-fingered robots to choose an appropriate grasp on an object from natural
language instructions poses great difficulties for such systems. The diversity, imprecision …
language instructions poses great difficulties for such systems. The diversity, imprecision …
Deep learning for category-free grounded language acquisition
We propose a learning system in which language is grounded in visual percepts without pre-
defined category constraints. We present a unified generative method to acquire a shared …
defined category constraints. We present a unified generative method to acquire a shared …
Neural variational learning for grounded language acquisition
We propose a learning system in which language is grounded in visual percepts without
specific pre-defined categories of terms. We present a unified generative method to acquire …
specific pre-defined categories of terms. We present a unified generative method to acquire …
Efficient generation of motion plans from attribute-based natural language instructions using dynamic constraint map**
We present an algorithm for combining natural language processing (NLP) and fast robot
motion planning to automatically generate robot movements. Our formulation uses a novel …
motion planning to automatically generate robot movements. Our formulation uses a novel …
Leveraging publicly available textual object descriptions for anthropomorphic robotic grasp predictions
Robotic systems using anthropomorphic end-effectors face tremendous challenges
choosing a suitable pose for gras** an object. The fact that the choice of a grasp is …
choosing a suitable pose for gras** an object. The fact that the choice of a grasp is …
Real-time object recognition based on NAO humanoid robot
Q Liu, C Zhang, Y Song, B Pang - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
This paper focuses on the real-time object recognition based indoor humanoid robots like
Nao robots. Improving the perceptive ability of service robot has always been a research …
Nao robots. Improving the perceptive ability of service robot has always been a research …
[PDF][PDF] Unified Generative Vision-Language Understanding
J Carter, A Goldstein, J Roy - 2024 - preprints.org
This paper introduces an innovative learning framework where linguistic representations are
inherently grounded in visual perceptions, circumventing the need for predefined categorical …
inherently grounded in visual perceptions, circumventing the need for predefined categorical …
Knowledge Acquisition and Reasoning Systems for Service Robots: A Short Review of the State of the Art
PK Prasad, W Ertel - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
Understanding the environment is an essential capability for mobile service robots to
achieve autonomy. While this has proven to be a very challenging task, researchers have …
achieve autonomy. While this has proven to be a very challenging task, researchers have …
Real-Time Robot Motion Planning Algorithms and Applications Under Uncertainty
JS Park - 2020 - search.proquest.com
Robot motion planning is an important problem for real-world robot applications. Recently,
the separation of workspaces between humans and robots has been gradually fading, and …
the separation of workspaces between humans and robots has been gradually fading, and …