YLOG's Autonomous Robots for Logistics: Energy Efficient and Precise

Karsan Automotive's Autonomous e-ATAK electric bus has begun passenger operations with Vy Buss AB in Gothenburg, Sweden. Read more: https://ow.ly/WYtT50WZfrc #Karsan #Autonomous #Bus #Sweden

Karsan Automotive's Autonomous e-ATAK electric bus has begun passenger operations with Vy Buss AB in Gothenburg, Sweden. Read more: https://ow.ly/WYtT50WZfrc #Karsan #Autonomous #Bus #Sweden

AutowareCon Conclusion to Markus Schratter Speech Safety isn't platform-specific - it's systematic. The biggest mistake in autonomous systems? Treating each platform as a unique safety challenge. At 10.09 Autoware Foundation 10-year anniversary event, Markus Schratter from Hashtag#VirtualVehicle demonstrated something remarkable: the same safety-validated Autoware stack running across passenger vehicles, buses, UGVs, quadruped robots, and even drones. Having delivered 15+ safety-compliant automotive projects, I know how tempting it is to customize safety approaches for each platform. But Virtual Vehicle's systematic approach caught my attention for three critical reasons. Standardized safety interfaces across platforms - They've created a unified sensor launch system that provides the same data format regardless of whether it's a car, bus, or robot dog. This isn't just elegant engineering - it's safety-critical thinking. When you standardize the safety interface, you reduce the validation burden exponentially. Multi-modal safety integration - From wheeled vehicles to legged robots, they're proving that safety-critical autonomous systems can share validated components while adapting interfaces. This aligns perfectly with our experience integrating diverse automotive systems - Camera, Battery Management, Domain ECUs, and LiDAR systems. What struck me most was Schratter's emphasis on maintaining "Hashtag#TheSameAutowareStack" across platforms while adapting only the interfaces. This is exactly the kind of systematic safety thinking that our ISO26262-certified team brings to every project. ADAS is a subset of Robotics. The implications for industrial automation are significant. If the same safety-validated stack can navigate a narrow tunnel in a passenger car and perform search-and-rescue operations with a UGV, imagine the possibilities for industrial plants, mining operations, and agricultural applications. Hashtag#VirtualVehicle's approach validates something we've believed for years: safety-critical embedded systems require systematic, not ad-hoc, approaches. The companies that will succeed in autonomous systems aren't those with the most platforms - they're those with the most robust safety validation across platforms. Are you seeing similar systematic approaches to safety validation in your autonomous projects? #Autoware #Robotics #VirtualVehicle #Safety #ADAS #AMR #AI

Influence of AI on the Transportation Sector AI is transforming the way we navigate transportation, from autonomous vehicles to more efficient traffic management. The transportation sector is leveraging AI to enhance both efficiency and safety. Read More : https://lnkd.in/giTG4Fwd #SmartTraffic #AutonomousVehicles #SafeDriving #EfficiencyBoost #TrafficSolutions #MobilityRevolution #SmartCities #DrivingInnovation #ConnectedVehicles #TransportTrends #SustainableTransport

Automakers accelerate toward self-driving fleets, promising safer roads and smoother traffic. Yet regulators warn of uneven readiness, data risks, and ethical gaps that could stall adoption and erode public trust. The post The Future of Autonomous Vehicles: Promise and Pitfalls appeared first on Codaily.

WeRide is set to deploy its GXR and Robobus autonomous vehicles in Singapore through a collaboration with Grab. Read more: https://ow.ly/IT9t50X1Af4 #WeRide #Grab #AutonomousVehicles #Singapore

Autonomous vehicles aren’t just global trends - they are becoming an Indian reality. Omega Seiki Mobility has launched Swayamgati, the country’s first indigenously developed autonomous electric three-wheeler. #osm Omega Seiki Mobility #LIDAR #ADAS #EV #Autotech #autotechnology #autonomousvehicle Uday Narang https://lnkd.in/gfw_H8vp

Edge intelligence solutions firm Klas found that 31% of Americans believe that autonomous vehicles are readily available, but is that the reality? Read on to find out: https://lnkd.in/eKnURUYx #RegenerativeBrakes #AutonomousVehicles #TestEquipment

Autonomous Driving: Human level Control for Autonomous Dodging of Adversarial Traffic with Bi-Directional Traffic Negotiation. In this demo one can see our autonomous vehicle at Swaayatt Robots (स्वायत्त रोबोट्स) autonomously dodging adversarial traffic on a tight single-lane road with muddy sides, showcasing the robustness of our #autonomousdriving technology. Earlier, on 27th of August, while demonstrating to representatives from Suzuki Motor Corporation from Japan, we did a low-speed autonomous dodging on a wide road. We increased the complexity for our autonomous vehicle even further and last week we performed autonomous dodging and bi-directional negotiation at much higher speeds. While our vehicle was navigating autonomously, we asked our engineering team to use a bicycle, a bike, and an SUV to cut the path of our autonomous vehicle, at random / at will, creating a very challenging adversarial scenario, where the sole responsibility of collision avoidance, detouring is that of our #autonomousvehicles. As a disclaimer, a) The person cutting the path of our autonomous vehicle by overtaking it through a bicycle was myself. b) The person driving the SUV at high-speeds on muddy roads overtaking and then cutting the path of autonomous vehicle is again myself. c) The team member who cut the path our autonomous vehicle at 22-sec and 2:40-mark in the video is our mechanical engineer Nipun Shah and the team member who cut the path with a bike at 1:46-mark is our robotics engineer Paras Rana. Furthermore, our vehicle also performed traffic-cone negotiation, as well as generic bi-directional traffic on a single lane road with ease -- a capability that Swaayatt Robots is a pioneer of and has been demonstrating since October 2023. The motion planning and decision making framework performing dodging and bidirectional negotiation is something I have been personally developing for quite some time now, and it uses one RL agent. This underlying policy is being scaled up for Level-5 autonomy via deep #reinforcementlearning. #deeplearning

The challenge with autonomous driving on Indian roads is the huge uncertainty with data (labels on road/direction indicators/ variability in condition of roads / unexpected crossings). Swaayatt Robotics testing videos are really impressive trying to overcome this challenge.