Omnidirectional omni wheels
Wheels adjustable to 0°, 45° and 90° via heavy-duty linear actuators enable skid steering, spot rotation and lateral strafing, giving holonomic motion for tight maneuvering and equipment access.

Reborn for Mars: omni-wheel agility, a 7 kg-payload arm, triple-layer comms
Mongol-Tori Phoenix is BRAC University's redesigned URC 2024 rover, built by 30+ undergraduates across five sub-teams (Science, Automation, Arm, Drive, Navigation). It retains the proven 4-wheel rocker suspension while adding omnidirectional omni wheels for holonomic motion, a lighter base-heavy 5-DOF arm with up to 7 kg payload, and a three-layer dual-band communication system. A modular plug-and-play architecture isolates subsystem failures and lets the body be resized per mission.
Wheels adjustable to 0°, 45° and 90° via heavy-duty linear actuators enable skid steering, spot rotation and lateral strafing, giving holonomic motion for tight maneuvering and equipment access.
A redesigned manipulator concentrates mass at the base for a high payload-to-weight ratio, reaching up to 7 kg payload with a 2-finger end effector, laser and solenoid for precise, modular task handling.
Simultaneous and independent 2.4 GHz and 5.8 GHz point-to-point links with Ubiquiti Rocket M2/M5, automatic noise-avoiding channel binding and FPV failover keep video and control alive.
A modular onboard spectrometer spanning 250-800 nm with 15 quartz cuvettes detects biomarkers like FMN, porphyrins and Fe-S clusters using Beer-Lambert analysis for in-situ life detection.
Separate science, navigation, network and electronics modules allow swift swaps, isolate cascading failures, and let the rover body be resized per mission for significant weight reduction.
Every discipline on the team owns a slice of the machine. Here is how each one comes together.
A redesigned chassis in aluminum and ebonite retains the proven 4-wheel rocker suspension while adding omnidirectional omni wheels and a new lightweight 5-DOF arm. A fully modular layout separates science, navigation, network and electronics for plug-and-play swaps and weight reduction.
An onboard Intel NUC runs ROS Noetic on Ubuntu 20.04 as the system backbone, with the ROS master on the rover so it can keep deciding if comms drop. A web GUI tied to ROS shows position, orientation, science sensor data and battery level, with a WebSocket backup.
The electronics subteam built two custom PCBs (arm and wheel) prioritizing modularity, efficiency and resilience. Each board carries an N-channel MOSFET H-bridge driven by DRV8702 plus relays, an onboard Arduino communicating serially with the Intel NUC, and onboard buttons for debugging.
A three-layer communication system gives uninterrupted control and feed using two dedicated point-to-point links on 2.4 GHz and 5.8 GHz. Ubiquiti Rocket M2/M5 units at the base station pair with a WAVLINK router on the rover, with automatic noise-avoiding channel binding.
Autonomous navigation uses GNSS localization and the ROS Navigation Stack with global and local planners for path planning and camera-based obstacle avoidance. An SBG Ellipse-D INS with differential GNSS delivers 1 m positioning and 0.2° heading precision.
A modular onboard life-detection assay centers on a custom UV-Vis spectrometer (250-800 nm) analyzing absorption spectra of biomarkers in 15 quartz cuvettes. A retractable science arm collects and crushes soil, feeding a sealed cache and cuvettes for spectroscopic and wet-chemistry analysis.
How this rover is engineered to score across every University Rover Challenge task.
The 4-wheel rocker-bogie suspension carries the rover up to 1 km across sand, rock, gravel and boulder fields, having passed a 1 m drop test. Operators drive via a web GUI with offline map, while onboard fossil, rock and tool detection models help catalog geological features using only the camera.
Omni-wheel holonomic strafing gives precise positioning for transporting the cache container to the lander and operating panel controls. The base-heavy arm with prismatic end-effector joints and inverse kinematics enables fine tasks like inserting the cache, typing, aiming an antenna and inserting a USB stick.
GNSS and the ROS Navigation Stack plan paths between coordinates with camera-based local obstacle avoidance. OpenCV ArUco detection plus a YOLO v8 model identify markers and objects, and depth perception guides accurate approach with search patterns as fallback.
A retractable science arm with excavator claw collects soil from the top 10 cm (deeper with extension), crushes it via roller, and routes samples to cuvettes and a sealed cache. A custom UV-Vis spectrometer and EC/NPK/thermal/moisture sensors drive a life-detection assay across multiple biomarkers.
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