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Sarthak Bhagat

4 accepted papers

2026

DreamControl: Human-Inspired Whole-Body Humanoid Control for Scene Interaction Via Guided Diffusion

ICRA 2026poster

We introduce DreamControl, a novel methodology for learning autonomous whole-body humanoid skills. DreamControl leverages the strengths of diffusion models and Reinforcement Learning (RL): our core innovation is the use of a diffusion prior trained on human motion data, which subsequently guides an …

2024

Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation

RA-L 2024

In an era where robots become available to the general public, the applicability of assistive robotics extends across numerous aspects of daily life, including in-home robotics. This work presents a novel approach for such systems, leveraging long-horizon action anticipation from short-observation c

Cited by 5SourceScholar
2024

ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition

IROS 2024poster

Task-oriented grasping of unfamiliar objects is a necessary skill for robots in dynamic in-home environments. Inspired by the human capability to grasp such objects through intuition about their shape and structure, we present a novel zero-shot task-oriented grasping method leveraging a geometric de…

Cited by 10SourcecodeScholar
2020

Disentangling Multiple Features in Video Sequences using Gaussian Processes in Variational Autoencoders

ECCV 2020poster

We introduce MGP-VAE (Multi-disentangled-features Gaussian Processes Variational AutoEncoder), a variational autoencoder which uses Gaussian processes (GP) to model the latent space for the unsupervised learning of disentangled representations in video sequences. We improve upon previous work by est…