AgiBot G2 by Agi vs D7 by Pudu 2025

AgiBot G2 uses a highly articulated, human-like body with 49+ degrees of freedom and a 55 kg mass, designed for precise, humanlike motions and manipulation in industrial environments, with reported features such as cross-moment wrists and high-performance actuators[1][3]. The D7 is presented as a humanoid of similar stature (170 cm height, 50–80 kg weight) with typical humanoid proportions and an emphasis on balance-assisted walking and structural robustness for field tasks, reflecting a build optimized for mobility and payload flexibility[?]. Both platforms cite industrial deployment intent, but AgiBot emphasizes fine manipulation hardware while D7 emphasizes structural balance and practical field durability[1][?].

AgiBot G2 advertises a top speed of 7 km/h and advanced 360-degree spatial perception with obstacle avoidance, suggesting gait and motion control tuned for both speed and precise positioning in factory scenarios[1][3]. D7 specifies walking speeds in the 1.5–3 m/s range (equivalent to 5.4–10.8 km/h) and lists visual SLAM plus LiDAR mapping with balance-assisted walking, indicating strong mapping and dynamic stability for inspection and logistics routes[?]. Navigation-wise, both platforms support SLAM-like approaches and obstacle avoidance, with D7 explicitly calling out LiDAR mapping and ROS 2 integration for navigation stacks while AgiBot emphasizes proprietary spatial perception and AI-driven planning[1][?].

AgiBot G2 lists high-precision torque sensors, 360-degree spatial perception, cameras, force sensors and environmental sensors, with emphasis on torque-based touch/force detection for manipulation and comprehensive situational awareness[1][3]. D7’s sensor suite includes RGB cameras, depth camera, LiDAR, IMU, gyroscope, accelerometer, force/torque sensors and joint encoders, supporting multimodal perception for mapping, balance and interaction in unstructured environments[?]. In comparison, AgiBot emphasizes tactile and torque precision for manipulation while D7 emphasizes multimodal sensing (LiDAR + vision + inertial) for navigation and stability[1][?].

AgiBot G2 runs a proprietary AI OS (likely Linux-based) with reinforcement learning and simulation support, reportedly using onboard high-performance compute such as NVIDIA Jetson-class platforms and AgiBot’s large models for task planning and rapid learning[1][3]. D7 offers autonomous and teleoperation modes with learned behaviors and explicitly supports ROS 2 plus a Python SDK, enabling integration with external AI stacks and research workflows for custom autonomy[?]. The primary distinction is AgiBot’s emphasis on embedded proprietary AI and rehearsal-driven task planning versus D7’s emphasis on open integration and ROS-compatible development for bespoke autonomy[1][?].

AgiBot G2’s battery details are not fully specified in the provided data but estimates and demonstrations reference hot-swappable dual batteries and an estimated multi-year battery lifecycle typical of industrial lithium packs (3–5 years), implying design for continuous operation and rapid swap/charging[1][3]. D7 lists a 3–5 year battery lifecycle and is positioned for field usage with typical industrial battery longevity and swap/charging workflows, indicating similar maintenance expectations[?]. Both platforms therefore present comparable battery longevity estimates, with AgiBot G2 additionally referenced in demonstrations for hot-swappable operation to support near-continuous uptime[3][?].

AgiBot G2 is positioned for auto parts production, precision manufacturing, logistics sorting, guided tours and collaborative industrial tasks where dexterous manipulation and precise force control are required, supported by its torque sensing and fine-actuation design[1]. D7 targets manufacturing, research, logistics, infrastructure inspection and remote operations, favoring scenarios where mapping, stability and ROS-based integration are priorities[?]. Selecting between them depends on task emphasis: choose AgiBot G2 for fine manipulation and embedded AI-driven task planning, and D7 for navigation-heavy or ROS-integrated inspection and logistics tasks[1][?].

AgiBot G2 runs proprietary AI OS (likely Linux-based) with reinforcement learning and simulation support, implying a closed but highly tuned software stack intended for enterprise deployments and on-device model execution[1]. D7 provides a Linux-based OS with ROS 2 support and a Python SDK, which facilitates development, researcher access and integration with standard robotics toolchains and external AI services[?]. The trade-off is AgiBot’s integrated, proprietary stack optimized for specific workflows versus D7’s openness and developer accessibility for custom solutions[1][?].

AgiBot G2 lists emergency stop, real-time force sensing, obstacle avoidance and impedance control as safety mechanisms tailored to human-robot collaboration and delicate handling, leveraging torque sensing for contact-aware motion limits[1]. D7 implements force limiting, collision detection, emergency stop and redundant sensors to meet safety needs across inspection, logistics and human-adjacent environments, with explicit mention of redundant sensor systems for fail-safety[?]. Both platforms emphasize collision detection and emergency stop, with AgiBot adding impedance control and torque-based contact awareness for manipulation safety[1][?].