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cs.RO2024

Towards Super-Nominal Payload Handling: Inverse Dynamics Analysis for Multi-Skill Robotic Manipulation

Anuj Pasricha, Alessandro Roncone

Motion planning for articulated robots has traditionally been governed by algorithms that operate within manufacturer-defined payload limits. Our empirical analysis of the Franka E…

cs.RO2024

Exploring How Non-Prehensile Manipulation Expands Capability in Robots Experiencing Multi-Joint Failure

Gilberto Briscoe-Martinez, Anuj Pasricha, Ava Abderezaei +4

This work explores non-prehensile manipulation (NPM) and whole-body interaction as strategies for enabling robotic manipulators to conduct manipulation tasks despite experiencing l…

cs.RO2024

Clutter-Aware Spill-Free Liquid Transport via Learned Dynamics

Ava Abderezaei, Anuj Pasricha, Alex Klausenstock +1

In this work, we present a novel algorithm to perform spill-free handling of open-top liquid-filled containers that operates in cluttered environments. By allowing liquid-filled co…

cs.RO2024

The Virtues of Laziness: Multi-Query Kinodynamic Motion Planning with Lazy Methods

Anuj Pasricha, Alessandro Roncone

In this work, we introduce LazyBoE, a multi-query method for kinodynamic motion planning with forward propagation. This algorithm allows for the simultaneous exploration of a robot…

cs.RO2024

PokeRRT: Poking as a Skill and Failure Recovery Tactic for Planar Non-Prehensile Manipulation

Anuj Pasricha, Yi-Shiuan Tung, Bradley Hayes +1

In this work, we introduce PokeRRT, a novel motion planning algorithm that demonstrates poking as an effective non-prehensile manipulation skill to enable fast manipulation of obje…