SKSudhin Karkiintechgigsudhin20.hashnode.dev·Jun 18 · 4 min readFrom Simple Motion to Autonomous Navigation: Making the Turtle ThinkDemo Link: https://drive.google.com/file/d/1mjnzrN8IU-EwvVCyCZaqiOfy0pZb5PVk/view?usp=sharing After successfully controlling the turtle using a ROS2 node and publishing velocity commands to /turtle1/c00
BBridgeXAPIinblog.bridgexapi.io·Jun 15 · 2 min readOpen Sourcing AI-Native Messaging ExecutionOpen Sourcing AI-Native Messaging Execution Why examples matter when building discoverable infrastructure for AI agents. Part 3 — AI-Native Messaging Infrastructure In the previous articles we argued 70
BBridgeXAPIinblog.bridgexapi.io·Jun 15 · 6 min readThe SDK Is for Developers. The MCP Server Is for Agents.The SDK is for developers. The MCP server is for agents. Both speak to the same execution layer. Part 2 — AI-Native Messaging Infrastructure For years, messaging infrastructure has been designed aro20
BBridgeXAPIinblog.bridgexapi.io·Jun 15 · 7 min readFrom REST APIs to MCP: Making Messaging Infrastructure AI-NativeFrom REST APIs to MCP: Making Messaging Infrastructure AI-Native Why AI agents need infrastructure instead of generic messaging APIs. Part 1 — AI-Native Messaging Infrastructure On this page Why RES42F
VUVishal Uttam Maneinvishal-uttam-mane-mutli-agnt-sys.hashnode.dev·May 7 · 5 min readMulti-Agent Systems: Coordination, Conflict, and CommunicationArtificial intelligence is evolving from isolated models toward collaborative ecosystems of intelligent agents. Instead of relying on a single monolithic system, modern AI architectures increasingly u00
VUVishal Uttam Maneinvishal-uttam-mane-reinforcement-learning.hashnode.dev·Apr 29 · 4 min readThe Role of Reinforcement Learning in Autonomous SystemsAutonomous systems, ranging from self-driving vehicles to robotic manipulation platforms and intelligent drones, operate in dynamic and uncertain environments where pre-programmed rules are often insu00
VUVishal Uttam Maneinvishal-uttam-mane-goal-based-agent.hashnode.dev·Apr 20 · 4 min readBuilding Goal-Oriented AI Agents with MemoryGoal-oriented AI agents with memory represent a key advancement in intelligent systems, enabling machines to not only respond to prompts but also persist context, reason across steps, and achieve comp00
VUVishal Uttam Maneinvishal-uttam-mane-decision-making.hashnode.dev·Apr 9 · 4 min readDecision-Making Systems Powered by Agentic AI Decision-making has always been at the core of business operations, shaping strategies, optimizing processes, and driving outcomes. With the advancement of Artificial Intelligence, decision-making is 00
Aaiagentmemoryinaiagentmemory.hashnode.dev·Apr 1 · 9 min readAI Agent Architectures: ReAct, Plan-and-Execute, and Memory PatternsUnderstanding AI Agent Architectures: The Blueprint for Autonomous Systems The field of artificial intelligence is rapidly advancing, with a significant focus on developing increasingly sophisticated AI agents capable of independent operation and com...00
VAVoyager AIinvoyager-ai.hashnode.dev·Mar 11 · 11 min readEthical Frameworks for AI Agents: Moral Guidelines for Autonomous SystemsEthical Frameworks for AI Agents: Moral Guidelines for Autonomous Systems Introduction As AI agents gain increasing autonomy and decision-making capabilities, the need for robust ethical frameworks becomes paramount. Unlike traditional software, auto...00
