activity
20202026
most citedRoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training

1 citations · 3 across the 8 of their papers we have counts for

collaborators

9 papers

cs.RO2026

VANDERER: Map-Free Exploration using Future-Aware and Visual-Curiosity-Guided Diffusion Policy

Venkata Naren Devarakonda, Raktim Gautam Goswami, Prashanth Krishnamurthy +1

Mobile agents require efficient exploration strategies to map unseen environments and autonomously plan tasks. Traditional methods rely on generating occupancy maps and optimizing…

cs.RO2026

Unifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks

Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1

Visual world models have shown great potential in learning complex system dynamics. Recent advancements leverage these models as transition functions within Model Predictive Contro…

cs.RO2025

World Models for Learning Dexterous Hand-Object Interactions from Human Videos

Raktim Gautam Goswami, Amir Bar, David Fan +6

Modeling dexterous hand-object interactions is challenging as it requires understanding how subtle finger motions influence the environment through contact with objects. While rece…

cs.RO2025

OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation

Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1

Visual imitation learning enables robotic agents to acquire skills by observing expert demonstration videos. In the one-shot setting, the agent generates a policy after observing a…

cs.RO20241 cited

RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training

Raktim Gautam Goswami, Prashanth Krishnamurthy, Yann LeCun +1

Vision-based pose estimation of articulated robots with unknown joint angles has applications in collaborative robotics and human-robot interaction tasks. Current frameworks use ne…

cs.RO2024

Open-Architecture End-to-End System for Real-World Autonomous Robot Navigation

Venkata Naren Devarakonda, Ali Umut Kaypak, Raktim Gautam Goswami +4

Enabling robots to autonomously navigate unknown, complex, and dynamic real-world environments presents several challenges, including imperfect perception, partial observability, l…