activity
20232026
collaborators

5 papers

cs.RO2026

ReVAMP: Vector-Accelerated Motion Planning for Kinematically-Constrained Systems via Reparameterization

Shrutheesh R. Iyer, Thomas Cohn, Zachary Kingston

Robots often must satisfy one or more constraints during motion planning for real-world tasks. When such constraints reduce the valid configuration space to a measure-zero subset,…

cs.RO2026

Vectorizing Projection in Manifold-Constrained Motion Planning for Real-Time Whole-Body Control

Shrutheesh R Iyer, I-Chia Chang, Andrew Z. Liu +2

Many robot planning tasks require satisfaction of one or more constraints throughout the entire trajectory. For geometric constraints, manifold-constrained motion planning algorith…

cs.RO2025

Differentiable Particle Optimization for Fast Sequential Manipulation

Lucas Chen, Shrutheesh Raman Iyer, Zachary Kingston

Sequential robot manipulation tasks require finding collision-free trajectories that satisfy geometric constraints across multiple object interactions in potentially high-dimension…

cs.RO2023

Household navigation and manipulation for everyday object rearrangement tasks

Shrutheesh R. Iyer, Anwesan Pal, Jiaming Hu +3

We consider the problem of building an assistive robotic system that can help humans in daily household cleanup tasks. Creating such an autonomous system in real-world environments…

cs.RO2023

An Experience-based TAMP Framework for Foliated Manifolds

Jiaming Hu, Shrutheesh R. Iyer, Henrik I. Christensen

Due to their complexity, foliated structure problems often pose intricate challenges to task and motion planning in robotics manipulation. To counter this, our study presents the `…