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Oliver Limoyo

7 accepted papers

2026

Generative Graphical Inverse Kinematics (Abstract Reprint)

AAAI 2026technical

Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for many robot manipulators. Existing numerical solvers are broadly applicable but typically only produce a single solution and rely on local search techniques to minimize nonconvex objective functi

Cited by 0SourcePDFScholar
2024

PhotoBot: Reference-Guided Interactive Photography via Natural Language

IROS 2024poster

We introduce PhotoBot, a framework for fully automated photo acquisition based on an interplay between high-level human language guidance and a robot photographer. We propose to communicate photography suggestions to the user via reference images that are selected from a curated gallery. We leverage…

Cited by 1SourceScholar
2024

Working Backwards: Learning to Place by Picking

IROS 2024poster

We present placing via picking (PvP), a method to autonomously collect real-world demonstrations for a family of placing tasks in which objects must be manipulated to specific, contact-constrained locations. With PvP, we approach the collection of robotic object placement demonstrations by reversing…

Cited by 0SourceScholar
2023

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence

ICRA 2023poster

Our work examines the way in which large language models can be used for robotic planning and sampling in the context of automated photographic documentation. Specifically, we illustrate how to produce a photo-taking robot with an exceptional level of semantic awareness by leveraging recent advances…

Cited by 9SourceScholar
2020

Heteroscedastic Uncertainty for Robust Generative Latent Dynamics

RA-L 2020

Learning or identifying dynamics from a sequence of high-dimensional observations is a difficult challenge in many domains, including reinforcement learning, and control. The problem has recently been studied from a generative perspective through latent dynamics: high-dimensional observations are em

Cited by 9SourcecodeScholar
2019

Fast Manipulability Maximization Using Continuous-Time Trajectory optimization

IROS 2019poster

A significant challenge in manipulation motion planning is to ensure agility in the face of unpredictable changes during task execution. This requires the identification and possible modification of suitable joint-space trajectories, since the joint velocities required to achieve a specific endeffec…

Cited by 21SourceScholar
2018

Self-Calibration of Mobile Manipulator Kinematic and Sensor Extrinsic Parameters Through Contact-Based Interaction

ICRA 2018poster

We present a novel approach for mobile manipulator self-calibration using contact information. Our method, based on point cloud registration, is applied to estimate the extrinsic transform between a fixed vision sensor mounted on a mobile base and an end effector. Beyond sensor calibration, we demon…

Cited by 17SourceScholar