Hello Robot:Stretch

 https://svrobo.org/hello-robot-wins-innovation-award-in-svr-good-robot-industry-awards/

Stretch from Hello Robot 

CEO: Aaron Edsinger                

Founded: 2017            

HQ:  Martinez, CA  

Hello Robot has reinvented the mobile manipulator. In July 2020 they launched Stretch, the first capable, portable, and affordable mobile manipulator designed specifically to assist people in the home and workplace. At a fraction the cost, size, and weight of previous capable mobile manipulators, Stretch’s novel design is a game changer.

Stretch has a low mass, contact-sensitive body with a compact footprint and slender telescopic manipulator, so that it weighs only 51lb. Stretch is ready for autonomous operation as well as teleoperation, with Python interfaces, ROS integration and open source code. In the future, mobile manipulators will enhance the lives of older adults, people with disabilities, and caregivers. Hello Robot is working to build a bridge to this future.

Read more: https://spectrum.ieee.org/automaton/robotics/home-robots/hello-robots-stretch-mobile-manipulator

$5 Wi-Fi IP Surveillance Camera (Very little DIY needed)

https://github.com/espressif/arduino-esp32

https://www.diymore.cc/collections/esp8266/products/esp32-cam-wifi-wireless-module-esp32-serial-to-wifi-esp32-cam-spi-flash-bluetooth-development-board-with-ov2640-camera-module

https://www.aliexpress.com/item/32983165020.html

ESP32-CAM-MB CH340G ESP8266 ESP32-S Wireless WiFi Bluetooth Expansion Board OV2640 2MP Camera SMD IPEX Antenna for Arduino MCU

[ESP32-CAM-MB CH340G Serial Micro USB]

Description:

The ESP32-CAM-MB module is a small camera module with a size of 39.8*27*. This module can work independently as the smallest system. A new WiFi+Bluetooth dual-mode development board based on ESP32 design, using PCB on-board antenna, with 2 high-performance 32-bit LX6CPU, using 7-level pipeline architecture, main frequency adjustment range 80MHz to 240Mhz. Ultra-low power consumption, deep sleep current is as low as 6mA. It is an ultra-small 802.11b/g/n Wi-Fi + BT/BLE SoC module

ESP32-CAM-MB adopts Micro USB interface, convenient and reliable connection method, which is convenient to be applied to various IoT hardware terminal occasions.

 

Parameters:

Using low-power dual-core 32-bit CPU, it can be used as an application processor.

The main frequency is up to 240MHz, and the computing power is up to 600 DMIPS

Built-in 520 KB SRAM, external 8MB PSRAM

Support UART/SPI/I2C/PWM/ADC/DAC and other interfaces

Support OV2640 and OV7670 cameras, built-in flash

Support picture WiFI upload

Support TF card

Support multiple sleep modes.

Embedded Lwip and FreeRTOS

Support STA/AP/STA+AP working mode

Support Smart Config/AirKiss one-click network configuration

Support secondary development

 

Application:

Home smart device image transmission

Wireless monitoring

Smart agriculture

QR wireless recognition

Wireless positioning system signal

And other IoT applications

 

Specification:

Working voltage: 4.75 -5.25V

SPIFlash: 32Mbit

RAM: Internal 520KB + external 8MB PSRAM

Wi-Fi: 802.11b/g/n/e/i

Bluetooth: Bluetooth 4.2BR/EDR and BLE standard

Support interface: (2Mbps) UART, SPI, I2C, PWM

Support TF card: up to 4G

IO port: 9

Serial port rate: 115200bps

Spectrum range: 2400 -2483.5MHz

Antenna form: onboard PCB antenna, gain 2dBi

Image output format: JPEG (only OV2640 support), BMP, GRAYSCALE

Transmit power:

802.11b: 17±2dBm (@11Mbps)

802.11g: 14±2dBm (@54Mbps)

802.11n: 13±2dBm (@MCS7)

Receiving sensitivity:

CCK, 1Mbps: -90dBm

CCK, 11Mbps: -85dBm

6Mbps(1/2BPSK): -88dBm

54Mbps(3/464-QAM): -70dBm

MCS7 (65Mbps, 72.2Mbps): -67dBm

Power consumption:

Flash off: 180mA@5V

Turn on the flash and adjust the brightness to the maximum: 310mA@5V

Deep-sleep: The lowest power consumption can reach 6mA@5V

Moderm-sleep: The minimum can reach 20mA@5V

Light-sleep: The lowest can reach 6.7mA@5V

Security: WPA/WPA2/WPA2-Enterprise/WPS

Working temperature: -20℃ -70℃

Storage environment: -40℃ -125 ℃, <90%RH

 

[ESP32-CAM]

Modle: ESP32-CAM

Operating Voltage: 5V

SPI Flash: 32 Mbit

RAM: Inter 520KB+, External 4M PSRAM

Bluetooth: BLuetooth 4.2 BR/EDR & BLE standard

WIFI: 802.11/b/g/n/e/i

Port: UART, SPI, I2C, PWM

IO Port: 9

Serial port rate: 115200 bps

Picture form: JPEG (only OV2640 support), BMP, GRAYSCALE

Spectrum range: 2412 -2484MHz

Antanna: Onboard PCB Antanna 2dBi

Security: WPA/WPA2/WPA2-Enterprise/WPS

Operating Temperature: -20 -85℃

Storage Tepmerature: -40 -90℃, <90%RH

 

Transmit power: 

802.11b: 17+/-2 dBm (@11Mbps)

802.11g: 14+/-2 dBm (@54Mbps)

802.11n: 13+/-2 dBm (@MSC7)

 

Receive Sensitivity:

CCK, 1 Mbps: -90dBm

CCK, 11 Mbps: -85dBm

6 Mbps(1/2 BPSK): -88dBm

54 Mbps (3/4 64-QAM): -70dBm

MCS7 (65 Mbps, 72.2 Mbps): -67dBm

 

[ESP32-S]

The main chip uses a low-power dual-core 32-bit CPU with a frequency of up to 240MHz and a computing power of up to 600DMIPS.

Default 32Mbit SPI Flash, 520KB SRAM

Support SoftAP and Station mode

Ultra-small 802.11b/g/n Wi-Fi + BT/BLE SoC module

Support UART/SPI/I2C/I2S/PWM/ADC/DAC, etc.

Support for firmware upgrade (FOTA)

Antenna supports on-board antenna or IPEX block output

 

[OV2640 Camera Module]

Feature:

The OV2640 image sensor features 2 megapixels (1632x1232 pixels)

Small size, low operating voltage, and provides all the features of a single chip UXGA camera and image processor.

Through the SCCB control, you can output the entire frame, sub-sampling, take the window, and a variety of resolution 10-bit sampling data.

The product UXGA images up to 15 frames per second.

The user can fully control the image quality, data format and transmission mode.

 

Specification:

High sensitivity for low-light applications

Low voltage for embedded applications

Standard SCCB interface, compatible with I2C interface

RawRGB, RGB (GRB4: 2: 2, RGB565 / 555/444), YUV (4: 2: 2) and YCbCr (4: 2: 2) output format

Supports UXGA, SXGA, VGA, QVGA, QQVGA, CIF, QCIF and up to 40x30 size

Supports Vario Pixel sub sampling mode

Automatic impact control functions include: automatic exposure control, Automatic gain control, automatic white balance, automatic elimination of light stripes, automatic black level calibration. Image quality control including color saturation, hue, gamma, sharpness ANTI_BLOOM

ISP with noise cancellation and dead pixel compensation

Support image scaling

Lens loss compensation

Saturation automatic adjustment

Edge enhancement automatic adjustment

Noise reduction automatic adjustment

Sensing array 1632 x 1232

Maximum format UXGA IO

Voltage 1.7V -3.3V

Analog voltage 2.5 -3.0V (internal LDO to power supply 1.2V)

Power consumption TBD sleep<20uA

Temperature operation -30 -70℃

Stable working 0 to 50 Degrees Celsius

Output format (8-bit)

YUV / YCbCr4: 2: 2 RGB565 / 555/444

GRB4: 2: 2 Raw RGB Data

Optical size 1/4"

Viewing angle 25°

Maximum rate 15fps

SXGA sensitivity 1.3V / (Lux-sec )

Signal to noise ratio 40dB

Dynamic range 50 dB

View mode Progressive electron exposure 1 line to 1247 lines

Pixel area 2.2 um x 2.2 um

Dark current 15 mV / s at 60℃

Zagros Robotics for all your robotic parts and supplies

https://www.zagrosrobotics.com/shop/

Smart Nanotubes - Smell Inspector

https://smell-inspector.com/ 

Skype teases AI-powered video bots that let you interact with characters and brands

This was April 2016, Looks like they lost interest?

 https://www.geekwire.com/2016/skype-video-bots/

Botiful - Telepresence Robot

 

This article is a work in progress...   Be patient. 

So a friend hands me a white plastic pod and says "here's a Botiful, it's based on the Yo Yo", looking expectantly at me thinking this gibberish would mean something to me . My response was "A bot if what?" looking puzzled at the palm sized cart. 

I vaguely remember seeing a little bit about this gadget but at the time my focus was on bigger things, and totally dismissed it.  

Surrendering your cell phone to drive it around could never go as far as anything more then a toy.

Soon to be forgotten and not something that would ever make it past a novelty product.  At best a good Holiday gift for a season. I couldn't have been more right. 

Well Botiful was put on a kickstarter and was funded to 93,000 just clearing their 90,000 goal. with estimated delivery in Mid-2012  

Actually shipped in 2014?  

It's based on the ioio board at $40, that google put out at one of their conferences and had a big hackathon in April 2011. 

Pronounced (YoYo like the toy) . 

PIC24FJ256

https://en.wikipedia.org/wiki/IOIO

https://www.sparkfun.com/products/retired/12633

https://learn.sparkfun.com/tutorials/ioio-otg-hookup-guide/software-downloads-and-installation-

All open source hardware is connected to an Android phone over USB.
Then developers can control it though a Java Library you add to an Android app.   This encouraged Android application development and opened IOT , I/O and Robotics applications. 

Lots Phone to Phone driving apps, but the real killer app was Skype support.

...

Skype only briefly supported the PTZ Pan Tilt Zoon that naturally mapped in to forward,backward ,left right, and zoom could be up and down. 

So skype was able to support this out of the box. 

A new feature just for you in Skype 3.0 for Android

ClaireCreator

November 20, 2012

I am really pleased to announce that Skype released the auto answering feature today, with Skype 3.0 update for Android !

I met with Skype Android team two months ago, to discuss about what could be developed on the Skype Android app to make it more friendly for robots. And auto answer was definitively your most wanted feature, that's what I told them. And they did it ! I just received a confirmation that the feature is included with today's update ! You will now be able to call your robot from anywhere without needing someone to pick up the call.

You can update Skype today on your android and enjoy this new feature !

https://github.com/Botiful    Last updated 2017.  

https://www.kickstarter.com/projects/1452620607/botiful-telepresence-robot-for-android

https://hackaday.com/2012/08/01/telepresence-robot-with-skype-connectivity/

http://www.botiful.me  No longer exists. And archive.org didn't capture the exe and zip files offered with java binaries (almost as good as source code) but these are now lost in time. 

Getting Your Robot Startup To The Big Leagues - the ABCD Approach

https://www.linkedin.com/pulse/getting-your-robot-startup-big-leagues-abcd-approach-aaron-prather/

For many years, I was an off-ice official for a local minor league hockey team. This league was the equivalent of the A-League if one compared it to the baseball farm system. Over my years, I would see players come and go. Some would move up quickly or within a few seasons, but the majority of them would eventually realize that they were not going to make a living playing the sport they loved and quit. Most of my time in the league, I kept the stats sheet. I would log a player's goals, assists, penalties, and other key bits of data for the position they played on the team. In this role, I knew exactly which players were going to be leaving us soon for nicer ice rinks at the next level and which players were hitting the road to go back home. The stats painted a picture of which players were ready to move on to bigger things and which ones needed to give it up.

It is odd now that I find myself in a similar role when it comes to startups, especially those in the robotics space. For the past couple years, I've come across hundreds of startups in the robotics industry. Similar to those minor league hockey players, I have started to recognize which firms are going to move up the proverbial ladder to the bigger things, which ones that may need more time in the minors to develop their tech, and which ones are going to be going home to try other things.

So what are the things on a robotic startup's "stat sheet" that tells me where they are heading and if they are definitely on a path to joining the big leagues and are ready to work with a Fortune 500 company like FedEx? It all comes down to checking boxes A, B, C, and D:

Assessed and Assigned tech to the right use case.
Bench of Talented Individuals
Capital and Cash Flow
Deployments
These are the biggest success categories I have seen when it comes to robot startups that are now (or soon will be) moving to the top of the industry. So let's take a deeper dive into each one.

Assessed and Assigned Tech to the Right Use Case
Too many times I have been approached by a startup who think they have created something that has never been seen before in the industry. In all honesty, the number of startups that have shown me something I haven't already seen in a similar iteration somewhere else - I can count on one hand. Most of the time I can pull up a news article in The Robot Report or another trade publication and show them a company doing the same thing. So the first thing every startup needs to do is assess the market and see if they are doing something similar to others in the space. If they are, then they need to ask themselves what makes them special/unique/better than the twenty companies doing the same thing? If they can't answer that, it is already time to reassess their technology and business proposition.

No alt text provided for this image
The next thing many startups fail to do is assess the task they want to solve for a potential customer. If you are claiming you have created a robot that does "Job X," but you have never done "Job X" yourself then your credibility is going to drop quickly with a client. For the record, when I started my career with FedEx over 25 years ago, I offload trucks and containers, inducted packages, and loaded trucks and aircraft back up. Even today, I will sometimes find myself back out in operations to ensure I never forget the tasks our frontline employees do day in and day out. This means that when I am sitting across from a young CEO who has been in academics for his whole life tells me he created a solution for one of my tasks, but has never seen it done or done it himself, I am already one foot out the door. The second foot leaves when they tell me that I need to completely change my operations so his tech can actually work in my facilities.

Now it is something completely different for that CEO to say "we think we created something, but we need a subject-matter expert to help us prove this is the right use case for us." That is something the vast majority of us in manufacturing, logistics, retail, and other industries can work with. This is a sign of someone that realizes they don't have all the answers. They need to do their Customer Discovery and learn from their potential clients what the real pain points are and IF there tech makes any sense to those use cases. As the saying goes, "Just because you can build a robot for a use case, doesn't mean you should." There are other solutions that can be just as good if not better than a robot. Just ask Walmart and Bossa Nova.

It is only after doing all of this assessing via an industry and customer discovery process can a startup make the wise decision of assigning their tech to the right use case for them. I've seen some startups actually pivot their plans at this time. Sometimes startups find that their tech is not really needed in an industry like logistics, but is better suited for a completely different industry. This is all a good thing in my opinion, because it proves how much work the startup has done into assessing their tech both internally to itself and externally to the market.

Bench of Talented Individuals
This one gets overlooked by startups and early on it is not their fault. Many robot startups kick off with a handful of passionate engineers. This is always a great place to start, but to get to the big league, a startup is going to need to build a big bench of talented individuals across numerous disciplines to deal with a Fortune 500 company like FedEx.

If I am in discussions with a firm with less than 25 people, there is a ton of extra paperwork I have to fill out. Why? Because I need to ensure this small company can take on the demands of a company with over 500,000 employees and touches 99% of the world's economic activity.

No alt text provided for this image
Many times I tell startups that "just because you can talk to a company like FedEx, doesn't mean you are ready to do business with a company like FedEx." This is not to say we would not be interested in talking to you about your tech. My team can provide some great insight and help in your Customer Discovery process. However, if your team is not ready to deal with a 24/7/365 around the world operation, then don't put yourself in the position. There is no need to be the dog that catches the big bad car and now is just along for the ride.

Teams that are ready to move into the big time have built out a deep bench of not only highly talented engineers, programmers, and roboticists, but also business talent on the sales, marketing, and customer service side. Sometimes this bench growth doesn't happen until the next item on this ABCD list. However, it is critical a firm has this bench of talented individuals with numerous different types of skills to deal with a plethora of demands that will come with a big league client.

Capital and Cash Flow
Robotic startups are some of the most expensive, capital intensive enterprises on the planet. Unlike startups in the software or mobile app space, iterating on robot designs is an expensive endeavor. Robot firms can burn through cash at an alarming rate as they try to build their hardware and their software to support it. This is why it is not surprising that many of the big successes right now in the industry are more on the software side of industry where costs and burn rates can be kept in check, because hardware development is minimized by using off the shelf components.

So what does a startup do when it comes to capital and cash flow? Besides trying to use as much free stuff as possible when it comes to building their application (thank you ROS), it is also wise to work with small to medium enterprises that cannot only help them prove out their tech, but hopefully pay them for it. Capital and cash flow are sometimes the biggest obstacles to a startup. This is where many startups with a great idea/product have perished through no fault of their own. There is no silver bullet for many startups here. How resourceful you can be is probably your only winning path here. This is why wasting resources on chasing a single large customer is probably not the best use of your limited resources early on. Yes, a big customer can get that cash flow going, but it is highly unlikely early on a big client will take the risk on you.

No alt text provided for this image
As stated earlier, when I am in talks with a small firm of less than 25 employees, there is extra paperwork to fill out. One of the forms that will need to be filled out is a financial one to ensure the firm is financially healthy to work long term with FedEx. This is another reason, we stress to startup firms that they need to build up their operations prior to engaging a big customer, because we will ask these types of financial questions.

I have seen some robotic firms completely bootstrap themselves. So it is possible to do that. For some firms, they will get Venture Capital funding that will allow them to grow their bench of employees and to further enhance their technology. That will help them in getting to the big time. However, having a cash flow from sales to customers is a sure fire way to keep moving up the ladder to the major league. Why? Because that gives bigger customers some very important validation that your tech works. That leads to the next key stat to build.

Deployments
Nothing proves that a robot startup is ready for the big time than having numerous deployments under their belt. The more deployments a company has, the more likely a big firm is going to want to do business with them. They have proven themselves that not only their tech works, but they have been out there in the "real world" working with other customers and providing them solutions. It also gives the bigger firm a chance to talk to one of those clients and get their thoughts on the tech and how it works for them. Smart startup CEOs will actually offer their early clients up to talk to the bigger potential client to actual speed that process up.

Deployments also indicate that the firm has some sort of cash flow coming in which makes the financial picture a bit clearer. Now this cash flow may not be enough to sustain the firm long term, but it does indicate the start of a revenue stream for them, even a small one.

So what is the magic number for a Fortune 500 when it comes to deployments? 10? 30? 50? Each Fortune 500 company will be different. It really depends on the firm and the technology they are selling. It also depends if the startup has really nailed down the earlier items on this list. A team that has a top notch solution and has put it in the ideal use case will get more leeway on the number of deployments. The flipside to that is if a firm that has a solution similar to a dozen others, but has the vast majority of the deployments in the market, they will get more attention by a large firm. One just needs to look at Universal Robots domination of the Collaborative Robot space. When you think Collaborative Robot which company pops in your head first? Same with many executives.

Conclusions
So what is the takeaway from all of this? What is the best way to sum up this ABCD approach? It really comes down to this:

Ask a lot of questions about your technology and the market. Make sure you understand everything that you need to know about the problem you think you want to solve for your customer. Reach out to the Subject Matter Experts in the industries that you want to go after. Do not be scared to admit your idea/tech will not work as you originally thought. Adapt and move on to where you do think it will work.
Build up a top notch team. Before even thinking of talking to a large customer, ask yourself are you ready to support them every hour they are open. If you are not capable of supporting the 24/7/365 operations of a large customer, then you are not ready for that customer. Get the talent that will allow you to land and then KEEP those big clients.
Cash on hand and cash coming in. This can be a difficult one for many startup founders, because they want to land a big client like a FedEx to not only get cash flow, but also get VCs to jump on board. However, a Fortune 500 company is not going to take the risk on a firm that is "living paycheck to paycheck" especially if it is their company keeping the smaller firm alive. Get those small wins with small and medium size enterprises.
Deploy and delivery your product to as many of those small and medium sized customers as soon as possible. This not only proves that your technology is valuable to numerous clients, you are also showing you are not dependent on a single client for your revenue stream. This one may take the longest to get to, but if you focus on getting those small wins in the minor leagues of small and medium enterprises you are growing your image in the eyes of the major players.
Each startup is going to have their own path to winning that first big time client. A few may have a killer technology that allows them to not need the deployments or a lot of capital on hand to get there. These are the unicorns of the startup world and have that once in a generation idea/tech. The vast majority of robot startups however will take a very measured approach and be open to building gradually to the big time. It is very true that the slow and steady approach wins more than forcing your way to the top and then finding you are not at all ready.