Saturday, August 1, 2020

Student creates a robotic guide dog for visually impaired

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Charvi Trivedi

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Student creates a robotic guide dog for visually impaired

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Global Views 360

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August 1, 2020

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The prototype of handheld robotic guide dog

The prototype of handheld robotic guide dog | Source: Anthony Camu via Loughborough University

Anthony Camu, a final year Industrial Design and Technology student at Loughborough University is making headlines with his latest creation of a handheld robotic guide dog. This will be a great help to those people with visual impairment who might find it difficult to accommodate an actual guide dog in their homes.

The robot is named after the Titan goddess of light, ‘Theia’ and is shaped like a virtual gaming controller, which enthused Anthony to create this masterpiece in the first place. Theia listens to the user’s voice to lead them to their desired locations.

If the user has to go to some address (for eg. House number 4, 56th Street, Greenville Residency), they have to say ‘Hey Theia take me to House number 4, 56th Street, Greenville Residency*’. It will then process the actual data available online, like traffic density, and program the most secure route for the user to follow, quite similar to how GPS or satellite navigation works in our cars.

All the information is then communicated to the user via a machine built inside it, called a control moment gyroscope which uses the mechanism of ‘forced feedback’. These are used in spacecraft and their main function is to help in orientation purposes of the spacecraft, or in controlling the ‘spacecraft attitude’ using electric power.

This tiny built-in gyroscope physically moves the user’s hand in the direction they are supposed to go, thus giving them a feeling of being led by an actual guide dog. “The main intention was never to replace guide dogs, but instead to provide an alternative means of giving enhanced mobility options to visually impaired people” says Anthony Camu.

According to Mr. Camu, Theia will also be helpful in confronting challenging interactions like elevators or shops. While crossing a busy street, it will tend to ‘push back’ the users, cautioning them to be more sentient about their current surroundings. Moreover, Theia is quite pocket-friendly, costing about one-tenth the price of a real guide dog.

This tool will also contribute in imparting a sense of belonging and reduce the constant mental hassle and anxiety faced by the visually impaired population of the world. Since they are unable to assess their surroundings, it limits their outdoor movement. This will help them move in the outdoors more often and reduce stress while navigating the traffic on the road.

Anthony has created and experimented with many prototypes of Theia and some work is still needed to correct a few issues before the final launch his product in the market

However, he concluded that Theia has a promising future and it requires just a little more testing and research.“I know this is a grand vision, but I hope people can see the positive effects Theia could have on the blind community” he states.

*This address is fictional. Any similarity is purely coincidental.

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February 4, 2021 4:52 PM

Randomised Control Trials and the Alleviation of Poverty in India

Abhijit Banerjee and Esther Duflo won the 2019 Nobel Prize in Economics for their “experimental approach in alleviating global poverty”. Their experimental approach encompassed a variety of novel methods to understand and analyse interventions and Randomised Control Trials (RCTs). Their research has been used by policy makers to make informed policy decisions to best help the marginalised.

What are RCTs?

To understand the effect of a policy, intervention, or medicine, decision makers try to measure the efficacy of the treatment. Do deworming pills given to children improve test scores? Does providing chlorinated water improve the health and economic outcomes of villages? These are some causal (read causal, i.e. caused by, not casual) questions researchers are interested in. The best way to analyse causal effects is to randomise the selection of people in the treatment and the control group (for example: children who are given deworming pills versus children who are not given the pills). This random selection of the two groups removes many statistical biases that might affect the results.

RCTs in India:

Many of the RCTs performed by Banerjee and Duflo were in India. They involved short- and long-term impact assessments of various interventions, policies, models, and treatments. We look at a few RCTs implemented in India:

Teacher absenteeism rates:

Troubled by the low attendance rates (or high absence rates) of public-school teachers in India, Duflo assessed the impact of financial incentives on the absence rates of teachers in Rajasthan. The study monitored teacher attendance by cameras, which was tied to a financial incentive if the attendance was high. From a baseline absence rate of 44%, teacher absenteeism in the treatment group fell by 21%, relative to the control group. High teacher attendance caused child test scores to improve too.

COVID-19 and health-seeking behaviour:

In the context of COVID-19, Banerjee tested the effect of sending messages via SMS that promoted health preserving behaviour. The results were very positive. By sending a short, 2.5-minute clip to 25 million randomly selected individuals in West Bengal, the intervention i) found a two-fold increase in symptom reporting to village health workers, ii) increased hand washing rates by 7%, and iii) increased mask-wearing by 2%. While mask-wearing rates increased only marginally, the spillover effects (wearing a mask stops the virus from infecting more people) were moderately high and positive.

Asset Transfers and the Notion of Poverty:

An RCT by Banerjee in West Bengal involving a productive asset transfer accompanied with training found large and persistent effects on monthly consumption and other variables. The treatment group reported 25% higher consumption levels relative to the control group, who did not receive the asset transfer and training. Implications of such RCTs are huge. The notion that the poor are lazy and unwilling to perform strenuous labour is falsified by this RCT. Often, what the poor lack are opportunities that are hard to come by, given their financial status. A small nudge, like the asset transfer, can cause large and positive effects on their well-being.  

Salt fortification to reduce anaemia:

RCTs also help rule out less cost-effective interventions. Duflo and Banerjee evaluated an RCT which distributed fortified salt in 400 villages of Bihar, to reduce the prevalence of anaemia. However, this intervention found no statistically significant impact on health outcomes like anaemia, hemoglobin, etc.  Thus, while RCTs help introduce novel methods of impacting the lives of the poor, they also help in ruling out in-effective measures. A policy maker might try other alternatives to reduce the prevalence of anaemia.

Are RCTs the gold standard?

Maybe. Extrapolating results from a regional RCT to national policies could present problems. Contextuality matters. A study that indicates positive gains for one region might present different, and rather adverse effects for another region. Nation wide effects might not be as prominent as regional results of a single RCT. The good part is that Banerjee and Duflo have a solution. Just perform more RCTs!

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