2 citations · 2 across the 8 of their papers we have counts for
8 papers
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…
Context-aware 6D Pose Estimation of Known Objects using RGB-D data
Ankit Kumar, Priya Shukla, Vandana Kushwaha +1
6D object pose estimation has been a research topic in the field of computer vision and robotics. Many modern world applications like robot grasping, manipulation, autonomous navig…
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Priya Shukla, Hitesh Kumar, G. C. Nandi
Intelligent Object manipulation for grasping is a challenging problem for robots. Unlike robots, humans almost immediately know how to manipulate objects for grasping due to learni…
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…