From the 1 of 5 linked papers with an AI index.
5 papers
Distributionally Robust Control via Stein Variational Inference for Contact-Rich Manipulation
Hrishikesh Sathyanarayan, Victor Vantilborgh, Harish Ravichandar +2
The paper introduces a model‑based manipulation controller that uses Stein variational inference to model task‑sensitive uncertainty, improving robustness in contact‑rich robotic t…
Dual Control Reference Generation for Optimal Pick-and-Place Execution under Payload Uncertainty
Victor Vantilborgh, Hrishikesh Sathyanarayan, Guillaume Crevecoeur +2
This work addresses the problem of robot manipulation tasks under unknown dynamics, such as pick-and-place tasks under payload uncertainty, where active exploration and(/for) onlin…
Quality Over Quantity: Curating Contact-Based Robot Datasets Improves Learning
Hrishikesh Sathyanarayan, Victor Vantilborgh, Ian Abraham
In this paper, we investigate the utility of datasets and whether more data or the 'right' data is advantageous for robot learning. In particular, we are interested on quantifying…
Behavior Synthesis via Contact-Aware Fisher Information Maximization
Hrishikesh Sathyanarayan, Ian Abraham
Contact dynamics hold immense amounts of information that can improve a robot's ability to characterize and learn about objects in their environment through interactions. However,…
Exciting Contact Modes in Differentiable Simulations for Robot Learning
Hrishikesh Sathyanarayan, Ian Abraham
In this paper, we explore an approach to actively plan and excite contact modes in differentiable simulators as a means to tighten the sim-to-real gap. We propose an optimal experi…