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BUILDER'S SANDBOX

Core Pattern

AI-generated implementation pattern based on this paper's core methodology.

Implementation pattern included in full analysis above.

MVP Investment

$9K - $12K
6-10 weeks
Engineering
$8,000
Cloud Hosting
$240
SaaS Stack
$300
Domain & Legal
$100

6mo ROI

2-4x

3yr ROI

10-20x

Lightweight AI tools can reach profitability quickly. At $500/mo average contract, 20 customers = $10K MRR by 6mo, 200+ by 3yr.

Talent Scout

V

Venkatesh Sripada

University of Surrey

F

Frank Guerin

University of Surrey

A

Amir Ghalamzan

University of Sheffield

Find Similar Experts

Robotic experts on LinkedIn & GitHub

Founder's Pitch

"Enable robots to answer complex queries through zero-shot interactive perception by dynamically manipulating environments."

Robotic Perception and ManipulationScore: 7View PDF ↗

Commercial Viability Breakdown

0-10 scale

High Potential

1/4 signals

2.5

Quick Build

3/4 signals

7.5

Series A Potential

4/4 signals

10

🔭 Research Neighborhood

Generating constellation...

~3-8 seconds

Why It Matters

This framework enables robots to resolve queries and manage interactions in complex or cluttered environments, which is critical for automation in places like warehouses or assembly lines where items are often occluded or arranged intricately.

Product Angle

Develop a robotic system that can be integrated into existing warehouse or factory settings where it can execute complex retrieval tasks with minimal human intervention, employing ZS-IP to resolve occlusions.

Disruption

ZS-IP could replace traditional static or semi-autonomous robotic systems that depend on pre-defined environments and lack the ability to dynamically adapt to new or occluded objects.

Product Opportunity

The growing market for warehouse and industrial automation technology, driven by a need for efficiency and reduced labor costs, would benefit from ZS-IP's capabilities in dynamic object manipulation.

Use Case Idea

A robot-enhanced service in warehouse management, capable of identifying, sorting, and retrieving items from cluttered environments using ZS-IP to provide real-time response to queries about item locations.

Science

The Zero-shot Interactive Perception (ZS-IP) framework couples vision-language models with a novel visual augmentation and memory-driven action planning to help robots interact with their environment, solving occlusions and responding to semantic queries. It introduces 'pushlines' to guide interaction trajectories and uses a Franka Panda arm for execution.

Method & Eval

Tested on a Franka Panda arm, ZS-IP outperformed traditional passive and viewpoint-based perception systems on tasks with varied occlusion and complexity, particularly in pushing tasks.

Caveats

Potential limitations include the reliance on specific robotic hardware and vision models, possible inefficiencies in real-time dynamic environments, and challenges in integrating with existing systems that have different hardware configurations.

Author Intelligence

Venkatesh Sripada

LEAD
University of Surrey
v.sripada@surrey.ac.uk

Frank Guerin

University of Surrey
f.guerin@surrey.ac.uk

Amir Ghalamzan

University of Sheffield
a.ghalamzan@sheffield.ac.uk

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2024Kuan Fang, Fangchen Liu et al.
[2]
Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks
2024Tianhe Ren, Shilong Liu et al.
[3]
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2024Boyuan Chen, Zhuo Xu et al.
[4]
Active Perception for Grasp Detection via Neural Graspness Field
2024Haoxiang Ma, Modi Shi et al.
[5]
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[6]
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[8]
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[9]
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[10]
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2022Michael Ahn, Anthony Brohan et al.
[11]
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2021Sheng Shen, Liunian Harold Li et al.
[12]
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[13]
Object Finding in Cluttered Scenes Using Interactive Perception
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[14]
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2019Nils Reimers, Iryna Gurevych
[15]
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[16]
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
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[17]
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[18]
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[19]
The YCB object and Model set: Towards common benchmarks for manipulation research
2015B. Çalli, Arjun Singh et al.
[20]
Mobile manipulation in cluttered environments with humanoids: Integrated perception, task planning, and action execution
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