diff --git a/robosuite/examples/third_party_controller/mink_controller.py b/robosuite/examples/third_party_controller/mink_controller.py
index 6d796ea6ee..39bcdef1a6 100644
--- a/robosuite/examples/third_party_controller/mink_controller.py
+++ b/robosuite/examples/third_party_controller/mink_controller.py
@@ -141,7 +141,7 @@ def __init__(
         robot_model: mujoco.MjModel,
         robot_joint_names: Optional[List[str]] = None,
         verbose: bool = False,
-        input_type: Literal["absolute", "relative", "relative_pose"] = "absolute",
+        input_type: Literal["absolute", "delta", "delta_pose"] = "absolute",
         input_ref_frame: Literal["world", "base", "eef"] = "world",
         input_rotation_repr: Literal["quat_wxyz", "axis_angle"] = "axis_angle",
         posture_weights: Dict[str, float] = None,
@@ -315,17 +315,32 @@ def solve(self, input_action: np.ndarray) -> np.ndarray:
             input_quat_wxyz = input_ori
 
         if self.input_ref_frame == "base":
-            input_poses = np.zeros((len(self.site_ids), 4, 4))
-            for i in range(len(self.site_ids)):
-                base_pos = self.configuration.data.body("robot0_base").xpos
-                base_ori = self.configuration.data.body("robot0_base").xmat.reshape(3, 3)
+            base_pos = self.configuration.data.body("robot0_base").xpos
+            base_ori = self.configuration.data.body("robot0_base").xmat.reshape(3, 3)
+
+            if self.input_type == "absolute":
+                # For absolute poses, transform both position and orientation from base to world frame
                 base_pose = T.make_pose(base_pos, base_ori)
-                input_pose = T.make_pose(input_pos[i], T.quat2mat(np.roll(input_quat_wxyz[i], -1)))
-                input_poses[i] = np.dot(base_pose, input_pose)
-            input_pos = input_poses[:, :3, 3]
-            input_quat_wxyz = np.array(
-                [np.roll(T.mat2quat(input_poses[i, :3, :3]), shift=1) for i in range(len(self.site_ids))]
-            )
+
+                # Transform each input pose to world frame
+                input_poses = []
+                for pos, quat in zip(input_pos, input_quat_wxyz):
+                    pose_in_base = T.make_pose(pos, T.quat2mat(np.roll(quat, -1)))
+                    world_pose = base_pose @ pose_in_base
+                    input_poses.append(world_pose)
+
+                input_poses = np.array(input_poses)
+                input_pos = input_poses[:, :3, 3]
+                input_quat_wxyz = np.array([np.roll(T.mat2quat(pose[:3, :3]), 1) for pose in input_poses])
+
+            elif self.input_type == "delta":
+                # For deltas, only rotate the vectors from base to world frame
+                input_pos = np.array([base_ori @ pos for pos in input_pos])
+
+                # Transform rotation deltas using rotation matrices
+                input_quat_wxyz = np.array(
+                    [np.roll(T.mat2quat(base_ori @ T.quat2mat(np.roll(quat, -1))), 1) for quat in input_quat_wxyz]
+                )
         elif self.input_ref_frame == "eef":
             raise NotImplementedError("Input reference frame 'eef' not yet implemented")
 
@@ -337,7 +352,7 @@ def solve(self, input_action: np.ndarray) -> np.ndarray:
             target_pos = input_pos + cur_pos
             target_quat_xyzw = np.array(
                 [
-                    T.quat_multiply(T.mat2quat(cur_ori[i].reshape(3, 3)), np.roll(input_quat_wxyz[i], -1))
+                    T.quat_multiply(np.roll(input_quat_wxyz[i], -1), T.mat2quat(cur_ori[i].reshape(3, 3)))
                     for i in range(len(self.site_ids))
                 ]
             )
@@ -489,9 +504,11 @@ def _init_joint_action_policy(self):
         self.joint_action_policy = IKSolverMink(
             model=self.sim.model._model,
             data=self.sim.data._data,
-            site_names=self.composite_controller_specific_config["ref_name"]
-            if "ref_name" in self.composite_controller_specific_config
-            else default_site_names,
+            site_names=(
+                self.composite_controller_specific_config["ref_name"]
+                if "ref_name" in self.composite_controller_specific_config
+                else default_site_names
+            ),
             robot_model=self.robot_model.mujoco_model,
             robot_joint_names=joint_names,
             input_type=self.composite_controller_specific_config.get("ik_input_type", "absolute"),