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Tu-Hoa Pham

5 accepted papers

2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching

RA-L 2021

We consider the problem of rover relocalization in the context of the notional Mars Sample Return campaign. In this campaign, a rover (R1) needs to be capable of autonomously navigating and localizing itself within an area of approximately 50 ×50 m using reference images collected years earlier by a

Cited by 11SourceScholar
2018

MaestROB: A Robotics Framework for Integrated Orchestration of Low-Level Control and High-Level Reasoning

ICRA 2018poster

This paper describes a framework called MaestROBe It is designed to make the robots perform complex tasks with high precision by simple high-level instructions given by natural language or demonstration. To realize this, it handles a hierarchical structure by using the knowledge stored in the forms…

Cited by 25SourceScholar
2018

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

ICRA 2018poster

While deep reinforcement learning techniques have recently produced considerable achievements on many decision-making problems, their use in robotics has largely been limited to simulated worlds or restricted motions, since unconstrained trial-and-error interactions in the real world can have undesi…

Cited by 196SourceScholar
2015

Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces

CVPR 2015poster

We present a novel, non-intrusive approach for estimating contact forces during hand-object interactions relying solely on visual input provided by a single RGB-D camera. We consider a manipulated object with known geometrical and physical properties. First, we rely on model-based visual tracking t…

Cited by 106SourcePDFScholar