2 citations · 2 across the 8 of their papers we have counts for
6 papers · 1 filter
GRIM: Task-Oriented Grasping with Conditioning on Generative Examples
Shailesh, Alok Raj, Nayan Kumar +4
Task-Oriented Grasping (TOG) requires robots to select grasps that are functionally appropriate for a specified task - a challenge that demands an understanding of task semantics,…
SplatR : Experience Goal Visual Rearrangement with 3D Gaussian Splatting and Dense Feature Matching
Arjun P S, Andrew Melnik, Gora Chand Nandi
Experience Goal Visual Rearrangement task stands as a foundational challenge within Embodied AI, requiring an agent to construct a robust world model that accurately captures the g…
Cognitive Planning for Object Goal Navigation using Generative AI Models
Arjun P S, Andrew Melnik, Gora Chand Nandi
Recent advancements in Generative AI, particularly in Large Language Models (LLMs) and Large Vision-Language Models (LVLMs), offer new possibilities for integrating cognitive plann…
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks
Jannik Sheikh, Andrew Melnik, Gora Chand Nandi +1
Reinforcement learning and Imitation Learning approaches utilize policy learning strategies that are difficult to generalize well with just a few examples of a task. In this work,…
Vision-Based Intelligent Robot Grasping Using Sparse Neural Network
Priya Shukla, Vandana Kushwaha, G C Nandi
In the modern era of Deep Learning, network parameters play a vital role in models efficiency but it has its own limitations like extensive computations and memory requirements, wh…
Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement
Vijay Bhaskar Semwal, S. A. Katiyar, P. Chakraborty +1
The present research as described in this paper tries to impart how imitation based learning for behavior-based programming can be used to teach the robot. This development is a bi…