IP Library › Granted Patent US 12,681,475
Granted Patent B2
US 12,681,475 · App. 18/388,260 · Granted Jul 14, 2026

Radar sensor-based bio-inspired autonomous mobile robot using BLE location tracking for disaster rescue

Inventor: Suma Gouri Pannala (Hyderabad, IN)
G05D1/0212G01S5/0231G05D1/0246G05D1/0257G05D1/027G05D1/0278G01S2205/06
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,681,475
App. No.
18/388,260
Filed
Nov 9, 2023
Granted
Jul 14, 2026
Kind
B2
Art Unit
3666
USPC
701/23
Abstract

An autonomous bio-inspired mobile robotic device ( 200 ) capable of detecting, tracking and communicating location of survivor(s) ( 34 ) trapped under earthquake/building collapse debris ( 30, 32 ). The small-size, lightweight, ruggedized autonomous legged mobile robot ( 200 ) incorporates high-frequency millimeter-wave radar sensor ( 10 ) and Ultra Wideband (IR-UWB) radar sensor ( 12 ) for detecting presence and perform ranging of trapped survivor(s) ( 34 ). The autonomous mobile robot ( 200 ) also comprises GNSS ( 8 ) and BLE ( 4 ) connectivity for location tracking of trapped survivor(s) ( 34 ) in conjunction with a Wi-Fi enabled visual sensing solution ( 20 ) and a flashlight ( 16 ) to aid during rescue operation. The battery-powered ( 24 ) autonomous bio-inspired mobile robot ( 200 ) also comprises an MCU ( 26 ), actuators ( 14 b ), motor control circuitry ( 18 ) and IMU ( 6 ) to control robot ( 200 ) locomotion and perform sensor data fusion. BLE ( 4 ) connectivity solution of the present invention ( 200 ) communicates the location of detected trapped survivor(s) ( 34 ) to a plurality of rescue devices ( 44 A, 44 B, 44 C) using Angle-of-Arrival ( 700 )/Angle-of-Departure ( 800 ) method for successful survivor ( 34 ) location resolution.

Claims (21)

1 . A bio-inspired autonomous mobile robotic device ( 200 ) for disaster rescue, wherein the device ( 200 ) comprises:

a plurality of limbs ( 14 i ) attached to a chassis body ( 2 ) rendering the mobile robot device ( 200 ) capable of locomotion;

the limbs ( 14 i ) of the mobile robot ( 2 ) includes actuators ( 14 b ) for controlling at least one motion of the robotic device ( 200 );

at least one on-board 360° rotating visual sensing module ( 20 ) mounted on a vertical retractable pedestal ( 20 a ) for capturing images/video footage of a disaster site ( 30 );

a Global Navigation Satellite Systems (GNSS) solution ( 8 ) to obtain location co-ordinates of the device ( 200 ) at the said disaster site ( 30 );

an Inertial Measurement Unit (IMU) ( 6 ) with a minimum of 6 DoF (Degrees of Freedom) to aid in the purpose of the mobile robot's ( 200 ) localization and self-orientation within the disaster site ( 30 );

at least one flashlight ( 16 ) for illuminating the said disaster site ( 30 ) and facilitating extrication/evacuation of survivor(s) ( 34 ) by a rescue team;

a microcontroller unit (MCU) ( 26 ) for controlling movement of the mobile robot ( 200 ), camera ( 20 ), IMU ( 6 ), flashlight ( 16 ) operations;

wherein,

at least one millimeter-wave radar sensor ( 10 ) for detecting survivor(s) ( 34 ) at the disaster site ( 30 );

at least one Impulse Radio Ultra Wide-Band (IR-UWB) radar sensor solution ( 12 ) for detecting survivor(s) ( 34 ) at the disaster site ( 30 );

Bluetooth® Low Energy (BLE) solution ( 4 ) with direction-finding feature, for locating survivor(s) ( 34 ) at the disaster site ( 30 ),

the millimeter-wave radar sensor ( 10 ) and the Impulse Radio Ultra Wide-Band radar sensor solution ( 12 ) detect changes in the vital signs of survivor(s), the vital signs include at least one of heart rate, breathing rate, pulse rate,

the MCU ( 26 ) processes using sensor fusion, the data, received from the millimeter-wave radar sensor ( 10 ), the Impulse Radio radar sensor ( 12 ), camera ( 20 ), the GNSS solution ( 8 ), and IMU ( 6 ) for obtaining localization and information regarding the location of the trapped survivor(s) ( 34 ), and

the millimeter-wave radar sensor ( 10 ), UWB radar sensor ( 12 ) and the camera ( 20 ) deduce the existence of survivor(s) ( 34 ) at the disaster site ( 30 )/rescue site ( 32 ) and thereby the next path/direction of movement of the present invention ( 200 ) may be determined.

2 . The device ( 200 ) as claimed in claim 1 , wherein the device ( 200 ) is transportable and is enabled to navigate and move through crevices, nooks and corners and under debris.

3 . The device ( 200 ) as claimed in claim 1 , wherein the device ( 200 ) detects the change in vital signs of survivor(s) ( 34 ), and assesses the distance, velocity and angle of survivor(s) ( 34 ), relative to the location of the device ( 200 ).

4 . The device ( 200 ) as claimed in claim 1 , wherein the MCU ( 26 ) sends sensor-fused location data of survivor(s) ( 34 ) to the BLE solution ( 4 ) and wherein the BLE solution ( 4 ) is housed with an antenna ( 38 ), which communicates the trapped survivor(s)'s ( 34 ) location data with the rescue teams.

5 . The device ( 200 ) as claimed in claim 1 , wherein the device ( 200 ) communicates with a plurality of BLE-enabled rescue devices ( 44 A, 44 B, 44 C), which are positioned at conducive locations around the periphery of the disaster site/rescue site ( 30 , 32 ).

6 . The device ( 200 ) as claimed in claim 1 , wherein the devices ( 44 A, 44 B, 44 C) estimate the direction and distance of the survivor(s) ( 34 ), using either BLE Angle-of-Arrival (AoA) ( 700 ) or BLE Angle-of-Departure (AoD) ( 800 ) techniques for accurate location-tracking of detected survivor(s) ( 34 ).

7 . The device ( 200 ) as claimed in claim 1 , wherein the rescue team uses AoA ( 700 ) or AoD ( 800 ) for location-tracking and/or direction-finding of survivor(s) ( 34 ) using a plurality of terminal devices ( 44 A, 44 B, 44 C) with the help of trilateration/triangulation ( 900 ).

Continuity (2)
Continuation In Part PCTIB2022052108 · Mar 9, 2022
Related Publication 20240077873A1 · Mar 7, 2024
References Cited (18)
US 8255092B2 · Phillips · 2012 [cited by examiner]
US 20060214622A1 · Summer · 2006 [cited by examiner]
US 20170088261A1 · Sequeira · 2017 [cited by examiner]
US 20190369641A1 · Gillett · 2019 [cited by examiner]
US 20210080965A1 · Starr · 2021 [cited by examiner]
US 20210269149A1 · Culver · 2021 [cited by examiner]
US 20230089577A1 · Huang · 2023 [cited by examiner]
US 20250136206A1 · Kojouharov · 2025 [cited by examiner]
CN 106003064A · 2016 [cited by examiner]
CN 210819567U · 2020 [cited by examiner]
CN 211468615U · 2020 [cited by applicant]
CN 212556577U · 2021 [cited by applicant]
KR 101926557B1 · 2018 [cited by examiner]
Chen, J.; Li, S.; Liu, D.; Li, X. AiRobSim: Simulating a Multisensor Aerial Robot for Urban Search and Rescue Operation and Training. Sensors 2020, 20, 5223. https://doi.org/10.3390/s20185223 (Year: 2020). [cited by examiner]
Machine Translation of CN210819567U (Year: 2020). [cited by examiner]
Machine Translation of KR101926557 (Year: 2018). [cited by examiner]
Machine Translation of CN106003064 (Year: 2016). [cited by examiner]
Zhongying Zhao et. al, Acousto-optic positioning hexapod disaster relief robot, 2020 5th International Conference on Automation, Oct. 22, 2020, 135-139, IEEE. [cited by applicant]