Bluetooth Low Energy 4.0 Module - HM-10
Save 20%Bluetooth 4.0 module (Low Energy) compliant with ISM 2.4 GHz, master/slave operating mode with transparent data transmission, based on the Texas Instruments CC2541 chip with 256K of Flash memory and 8K of RAM.
Overview
This is a Bluetooth 4.0 (Low Energy) module compliant with ISM 2.4 GHz, with master/slave mode of operation and transparent data transmission, based on the Texas Instruments CC2541 chip with 256K Flash memory and 8K RAM.
It can be controlled through simple AT commands (via UART) or programmed with custom applications. Ideal for use in projects where Bluetooth connection is needed, such as between microcontroller and PC. Power supply ranges between 2V and 3.6Vdc.
Note: SMT mounting.
Tech specs
- Bluetooth 4.0 module compliant with ISM 2.4 GHz (HM-10)
- Uses Texas Instruments CC2541 SoC chip with 256K Flash memory and 8K RAM
- Supports master and slave modes
- RX standard gain: 19.6 mA
- TX -6 dBm: 24 mA
- Frequency: 2402 - 2483.5 MHz in 20 kHz steps
- Modulation and Data Rate: 1 Mbps, GFSK
- Number of channels: 40
- Output power: -23 to 4 dBm
- Reception sensitivity: -93dBm/-87dBm
- Stack: ATT, GATT, SMP, L2CAP, GAP
- Range: over 70 meters 10-bit ADC
- Serial interface: UART/SPI Wake-up interrupt, Watchdog Timer
- AES Security Coprocessor
- Power supply: ranges between 2V and 3.6V
- VDD ripple: 100mV max
- Current consumption (at 25°C with VDD = 3V):
- Power Mode 3 (External Interrupts): 0.4uA
- Power Mode 2 (SleepTimerOn): 0.9uA
- Power Mode 1 (3-μs Wake-Up): 235uA
- RX Standard Gain: 19.6mA
- TX -6 dBm: 24mA
- TX 0 dBm: - - Operating temperature: -40°C to +85°C
- Dimensions (mm): 27x13x1.6
- Weight: 5 grams.
Conformities
Get Inspired
As robotics advance, the future could certainly involve humans and automated elements working together as a team. The question then becomes, how do you design such an interaction? A team of researchers from Purdue University attempt to provide a solution with their GhostAR system. The setup records human movements for playback later in augmented reality, while a robotic partner is programmed to work around a “ghost” avatar. This enables a user to plan out how to collaborate with the robot and work out kinks before actually performing a task. GhostAR's hardware includes an Oculus Rift headset and IR LED tracking, along with actual robots used in development. Simulation hardware consists of a six-axis Tinkerkit Braccio robot, as well as an Arduino-controlled omni-wheel base that can mount either a robot an arm or a camera as needed. More information on the project can be found in the team's research paper. With GhostX, whatever plan a user makes with the ghost form of the robot while wearing an augmented reality head mount is communicated to the real robot through a cloud connection – allowing both the user and robot to know what the other is doing as they perform a task.The system also allows the user plan a task directly in time and space and without any programming knowledge.First, the user acts out the human part of the task to be completed with a robot. The system then captures the human’s behavior and displays it to the user as an avatar ghost, representing the user’s presence in time and space.Using the human ghost as a time-space reference, the user programs the robot via its own ghost to match up with the human’s role. The user and robot then perform the task as their ghosts did.
